Job Listings

Note: Job listings are free. To post a job listing, please submit it to the SMB Digest. The listings here are typically pulled from each Digest. Please contact the webmaster for further details.

Listings shown below were posted in the following Digests:

Studentships

(Click on job title for additional information.)
  • PhD Position: Comp. Approach to Psoriasis, Newcastle U, UK
    • SMB Digest Vol 16, Issue 37 - September 13, 2016

      A PhD studentship is available at Newcastle University, UK on "A Computational Systems Biology Approach to Psoriasis Treatment".

      The studentship is part of a recently awarded Rosetrees Trust grant on computational modelling techniques for the development of personalised psoriasis treatments. This interdisciplinary project will involve collaboration with another PhD student and a clinical research fellow based in the Institute of Cellular Medicine, and a post-doctoral researcher based in Computing Science.

      For more information and to apply, visit: http://www.ncl.ac.uk/postgraduate/funding/sources/allstudents/cs057.html

  • PhD Positions: Math of Reaction Networks, U Copenhagen, Denmark
    • SMB Digest Vol 16, Issue 36 - September 6, 2016

      Applications are invited for two phd positions at the research group "Mathematics of Reaction Networks" (http://www.math.ku.dk/english/research/spt/reaction-networks/) at the Department of Mathematical Sciences at the University of Copenhagen, with start date latest December 1st 2016 (negotiable).

      Description: -One Phd position is on algebraic methods for the study of biochemical reaction networks. The student should hold a master in mathematics, preferrably with a strong background in algebra related topics, and be willing to learn some biology (prior knowledge is not required). The student would work under the supervision of Elisenda Feliu. For questions regarding this position, send an email to efeliu@math.ku.dk

      - The other Phd position is on stochastic reaction networks modeled by continuous-time Markov chains and properties of such processes. The student should hold a master in mathematics, preferably with a strong background in probability and/or statistics, and be willing to learn some biology (prior knowledge is not required). The student would work under the supervision of Carsten Wiuf. For questions regarding this position, send an email to wiuf@math.ku.dk

      To apply, follow this link: http://jobportal.ku.dk/phd/?show=853836 Deadline: 1st October 2016

  • PhD Position: Through the Tumour Labyrinth, U Edinburgh
    • SMB Digest Vol 16, Issue 35 - August 30, 2016

      Through the tumour labyrinth: developing a mechanistic understanding of blood flow and oxygen delivery in tumour vasculature

      For details about the project, see https://www.findaphd.com/search/ProjectDetails.aspx?PJID=76885&LID=462

      APPLICATION PROCEDURE Please provide a CV, a personal statement detailing your research interests and reasons for applying, degree certificate(s), marks for your degree(s) and 2 academic references in electronic format and email to: Lucy.Hyde@ed.ac.uk

      The closing date for applications is: Friday 23 September 2016

      Interviews will be held: October 2016 - date to be confirmed (interviews may be conducted by videoconference or Skype)

      The studentship will ideally begin in the last quarter of 2016 but there is flexibility in the case of outstanding candidates.

  • PhD Studentship - Mathematical Modeling of Water Filtration
    • SMB Digest Vol 16, Issue 31 - August 2, 2016

      A PhD studentship funded by Loughborough University is available to start in October 2016.

      The project, based in the Department of Mathematical Sciences at Loughborough University, will focus on the mathematical and computational modelling of point-of-care water purification devices. The aim is to set up a robust and reliable modelling tool that would enable simulation of different working configurations for the device with a view to optimise its performance and design.

      The successful candidate will be expected to develop a mathematical model of the process of filtration of water through a porous medium and computational finite element software to simulate filtration. The model will be validated using experimental data obtained in the Chemical Engineering Department.

      The studentship is for 3 years and it provides a stipend of £14,296 per annum plus tuition fees at the UK/EU rate for up to three years. International (non EU) students may apply but will need to find the difference in fees between those for a 'UK/EU' and 'international' student themselves.

      Students will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Mathematics, Physics or Engineering. A relevant Master's degree and/or experience in one or mode or the following will be an advantage: Applied Computational Mathematics, Computational Mechanics.

      Interested candidates are encouraged to contact Dr Marco Discacciati at M.Discacciati@lboro.ac.uk

      Applications are accepted until the position is filled.

  • PhD Position: Modeling Infection and Immunity, UNSW, Australia
    • SMB Digest Vol 16, Issue 31 - August 2, 2016

      PhD scholarship: Mathematical modeling in infection and immunity, Infection Analytics Program, Kirby Institute, UNSW.

      The Infection Analytics Program at the Kirby Institute is looking for talented students to join their team in Sydney, Australia, investigating immunity and vaccination for chronic infectious disease. Major current projects involve understanding the dynamics of 'latent' infection in HIV, and how the immune system controls malaria infection. The group is an interdisciplinary team including applied mathematicians, physicists, and computer scientists, who collaborate widely with experimental groups around the world. The team uses mathematical modeling, statistical analysis, and computer simulation to understand immunity to infection. The scope of studies ranges from modeling immune kinetics in vivo, analysis of genetic evolution in HIV, to analysis of cohort data on malaria infection in the field. The group has a high publication output and a strong history in successful interdisciplinary training. It is an ideal venue for students with a quantitative background (mathematics / physics / statistics) aiming to either establish themselves or diversify their experiences in mathematical biology.

      Applicants are sought for both local and International student scholarships for PhD studies. These scholarships cover tuition and living expenses (with stipends ranging from approx. $36,000 - $40,000 p.a., depending on scholarship). PhD studies generally last 3.5 years.

      The scholarships are highly competitive. For local students, first class honours is usually required. For international students, a high GPA (first class honours or equivalent. High ranking in class) +/- publications are required.

      More information on the group's research is available at the Infection Analytics website: http://kirby.unsw.edu.au/research-programs/infection-analytics-program/about-program

  • PhD research fellowship: Pharmacometrics & Computational Disease Modelling
    • SMB Digest Vol 16, Issue 28 - July 12, 2016

      The Graduate Research Training Program PharMetrX: Pharmacometrics & Computational Disease Modelling is an interdisciplinary PhD program bridging pharmacy and mathematics. PharMetrX provides its graduate students a unique opportunity to experience research in drug development and optimising drug therapy.

      PharMetrX offers:

      - a transdisciplinary research environment and research program
      - a competitive 3.5 years research fellowship
      - a structured research training curriculum of specifically designed academic and industrial modules
      - a joint supervision of the scientific progress by both program chairs
      - an individual research and development plan
      - an individual mentorship from one of the industry partners


      We are currently inviting applications to start the PharMetrX PhD program in March 2017. PharMetrX is open to candidates with a university degree in pharmacy, mathematics/statistics, natural sciences or medicine.

      Deadline for applications: September 15th, 2016. For details see https://www.PharMetrX.de.

      PharMetrX is a joint program of the Freie Universitat Berlin and the Universitat Potsdam, supported by several global research-driven pharmaceutical companies.

  • PhD & Postdoc Positions: mathematical and population genetics, McGill U
    • SMB Digest Vol 16, Issue 25 - June 22, 2016

      PhD and postdoc projects in mathematical and population genetics are available at McGill University in Montreal, Canada. The projects aim to develop mathematical, statistical, or computational models to better understand human genetics, human history, and disease. Sample projects are outlined below.

      Candidates should have:

      - a strong background in mathematics, statistics, programming, or related fields;

      - demonstrated interest in biology, evolution, or medical research;

      - a curious and creative mind.

      Experience in genetics, stochastic processes, or machine learning are assets.

      The fully-funded positions offer an exceptional opportunity to develop theoretical and computational ideas and apply them to cutting-edge data in a supportive and thriving research environment.

      Applications and queries should be sent to Simon Gravel gravellab@gmail.com. Please include a statement of interest (1 page or less), a CV, contact information for three references, and a low-resolution scan of transcripts.

      *Project 1: Genetics and Human history*

      The student will develop mathematical models of human genetic diversity to refine our understanding of human history, demography, and disease risk, especially in non-European populations.

      *Project 2: Tumor heterogeneity*

      The student will model heterogeneity in primary and metastatic tumors through simulation and mathematical models. She will seek to answer fundamental questions about cancer progression and resistance to treatment, and to help interpret the latest generation of sequence data.

      *Project 3: Genetics, Genealogies, and Evolution*

      The student will develop statistical models that combine genetic and genealogical data to learn about the transmission history of alleles over generations and identify evidence for selection or disease-causing alleles. He will work with some of the largest and most complete genealogical datasets available, as well as with cutting-edge biological datasets.

  • PhD Position: Bioinformatics/Computational Biology, UNSW, Australia
    • SMB Digest Vol 16, Issue 23 - June 8, 2016

      The Viral Immunology Systems Program (VISP) at the Kirby Institute for Infection and Immunity at the University of New South Wales, Sydney Australia is looking for PhD students to work on research projects in the area of bioinformatics / computational biology as well as statistical analyses that are aimed at understanding viral evolution and the role of host immune response. These projects and will involve high- throughput data, such as next-generation sequencing, as well as immunological data (flow- cytometry, single cell sorting and sequencing of T and B cell repertoire). The group has recently established single cell genomics laboratory assays to study antigen specific T cell responses and their subtype evolution during an infection.

      Computational projects are suited to students with a strong background in quantitative disciplines such as Bioinformatics, Computer Science, Physics, Statistics, Mathematics or similar. Successful applicants will join a team of researchers at the Kirby Institute and The School of Medical Sciences, which hosts > 140 PhD and Masters students and researchers in various field of Medical Sciences. There is also a great opportunity to interact with researchers involved in wet-lab activities.

      We have recently established the VISP program and the web page is under construction. Additional information on the Computational Biology Group's research interests is available at: http://medicalsciences.med.unsw.edu.au/research/groups/inflammation-and-infection-research/computational-biology-and-bioinformatics

      https://research.unsw.edu.au/people/dr-fabio-luciani

      Please include a cover letter and CV that provide details about research interests, education, employment history (if any), skills.

      Post-graduate scholarships are available to support tuition and living expenses for domestic (Australian Postgraduate Award APA)

      http://research.unsw.edu.au/domestic-research-candidate-scholarships

      and overseas PhD students to study in Australia. More information on the postgraduate research scholarships is available at:

      http://research.unsw.edu.au/international-research-candidate-scholarships

      Top-up scholarships are available in our group for USD5-10K.

      Interested applicants should contact Dr Fabio Luciani: luciani@unsw.edu.au.

  • PhD Position: Cardiac Modelling, Maastricht University, Netherlands
    • SMB Digest Vol 16, Issue 23 - June 8, 2016

      We have a PhD position in Maastricht with a closing date coming very soon. In this project, computer simulation of the failing heart will be combined with data from patients and animal experiments to determine how pacemaker therapy can be optimally delivered in the individual patient.

      This would be a great opportunity for an applied mathematics / engineering masters student with an interest in cardiac research who's interested in working in a different country. The student will be based in Maastricht and collaborate closely with Bordeaux and Graz.

      For further details, visit: http://www.academictransfer.com/33732

      Interested candidates will need to send a cover letter and your CV to Joost Lumens, PhD (joost.lumens@maastrichtuniversity.nl) before June 10, 2016.

  • PhD: Evolutionary transitions, University of Adelaide, Australia
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      PhD Scholarship: Mathematical modelling of evolutionary transitions. School of Mathematical Sciences, University of Adelaide, Australia.

      The scholarship is open to all international students, so this would be a great opportunity for someone to come and study in Australia for a few years.

      Details at: http://maths.adelaide.edu.au/andrew.black/phd_position.html

  • M2 Systems & Synthetic Biology, U Paris-Saclay & U. Evry, France
    • SMB Digest Vol 16, Issue 20 - May 18, 2016 Dear colleagues,

      Applications for the Master 2 in Systems & Synthetic Biology (mSSB) - proposed by the University of Evry-Val-d'Essonne and the University Paris-Saclay - are open until 15 July, 2016 on the website of U. Paris Saclay.

      This Master 2 is highly trans-disciplinary; Applicants may come from Universities or from Engineering schools after a first year of master (M1), or an equivalent qualification, in Life Sciences, Computer Sciences, Mathematics, Engineering, Chemistry and Physical Sciences. So we would appreciate your help in transmitting these informations to potentially interested students.

      Following this Master, several PhD programs are possible on site. Research trainings are also proposed in Europe (England, Germany, Switzerland, Spain, ...) and in the US.

  • PhDs & Postdocs: Hepatic Cell Differentiation..., UCLouvain, Belgium
    • SMB Digest Vol 16, Issue 20 - May 18, 2016 Experts in development and cancer biology are teaming up with modellers to build a network of experimentalists and theoretically-oriented scientists at UCLouvain and de Duve Institute (Louvain-la-Neuve and Brussels, Belgium). The goal of the network is to unravel fundamental mechanisms of organ development and growth by combining mathematical modelling with experimental approaches in cell, molecular and mouse transgenic technology.

      Our specific goals are to identify and predict the dynamics of signalling pathways and transcriptional networks which drive thyroid and pancreas morphogenesis, and which regulate hepatic cell differentiation and liver cancer development. We are seeking PhD students and post-doctoral fellows who will develop mathematical models, in collaboration with experimentalists. We offer the opportunity to interact with experts in experimental biology and applied mathematics, and to acquire transversal skills via participation to national and international workshops.

      The research will be performed in the laboratories of Emmanuel Hanert (http://perso.uclouvain.be/emmanuel.hanert), Frederic Lemaigre (http://www.deduveinstitute.be/lpad) and Christophe Pierreux (http://www.deduveinstitute.be/epithelial-differentiation).

      PhD candidates must hold a Master degree in mathematics, (bio-)engineering, physics or in an equivalent quantitative discipline. Post-doctoral candidates must have a strong track record of conducting interdisciplinary research in computational biology. They must have published the results of his/her PhD in international peer-reviewed journals. Candidates are expected to be fluent in English, written and spoken. They should not have resided or have carried out their main activity (work, studies, etc.) in Belgium for more than 12 months in the 3 years immediately prior to the start of the fellowship.

      Interested candidates should send their CV, a motivation letter and the names of three references to biomodelling@uclouvain.be.

  • PhD Position: Modeling Global Change & Animal Movements, SLU, Sweden
    • SMB Digest Vol 16, Issue 20 - May 18, 2016 Global change and animal movements - Towards a socio-ecological predictive framework

      *Project Background*
      Global change encompasses environmental, social, economic and demographic changes on planet earth. Animals are an important component of the natural world due to their crucial ecological, social, and economic role in ecosystems. Global changes driven by resource extraction, energy and infrastructure development, climate change and urbanization are dramatically affecting animal populations and their movements resulting in challenges for management, driving human wildlife conflicts as well as hindering the sustainable development and use of natural resources. In such transformed landscapes, the vital questions are, 'how', 'where', 'when' and 'why' do animals move and how do these altered movements transform the landscapes as well as human societies (ecologically, socially and economically) that depend upon these animals? Moreover, how can we better predict animal movements under 'multiuse-landscape' and 'climate change' scenarios? Using case studies of two large mammal species (reindeer and moose) that are ecologically, socially and economically important in the northern/arctic ecosystem, the project aims to answer these questions. The goal is to develop a socio-ecological movement modelling approach that goes beyond correlative or species distribution models and provides a predictive tool that can be used in developing diverse future land use scenarios, developed with and for community users and geared toward adaptation strategies in a changing world.

      *Qualifications*
      This NORDFORSK funded project seeks a candidate with a strong quantitative and modelling background in ecology, advanced skills in statistics and data analyses are almost essential as vast amount of data is already collected. A master degree in quantitative ecology or biology is desirable, or otherwise, those with a master in general ecology or biology may also apply and demonstrate their quantitative abilities. The candidate should be able to work in a multicultural and multidisciplinary environment, and have a good level of autonomy and creativity. A good knowledge of spoken English and writing skills are essential. Knowledge of Swedish and/or Sami is a plus. The expected start of the position is 1st October 2016. The place of work will be the Department of Wildlife, Fish and Environmental Studies at the Swedish University of Agricultural Sciences, Umeå, with occasional trips to the field site in northern Sweden.

      Use this APPLICATION FORM:
      http://epi-resurs.slu.se/Forskarutbildningsplatser/Application_PhDeducation_Applicant.pdf

      Further information:
      Navinder Singh, navinder.singh@slu.se, +46(0)706760103
      Göran Ericsson goran.ericsson@slu.se, +46(0)706765012

      Applications, marked with ref no SLU ua 1265/2016, must have arrived at the Registrar of SLU, P.O. Box 7070, S- 750 07 Uppsala or registrator@slu.se no later than 2016-08-31.

  • PhD Position: Modelling of infectious diseases, UNSW, Australia
    • SMB Digest Vol 16, Issue 20 - May 18, 2016 Applying mathematical models to estimate the impact and cost-effectiveness of vaccination programs

      We have a potential PhD research project in the area of infectious disease modelling, which will allow a candidate to develop and apply statistical, economic and mathematical modelling approaches. These skills are becoming increasing sought after in healthcare, both within academia and industry, and should help to build a strong foundation for a future career. The PhD candidate will have opportunities to work with leading experts at UNSW and with collaborators internationally. It will also present an excellent opportunity for an independent and self-motivated person to submit a number of peer-reviewed publications.

      Mathematical modelling is an important tool to estimate the impact of vaccination programs before they are implemented. These models can be used to predict future changes in disease both in those vaccinated and in the wider population via herd protection. The projections of program impact can then be used in cost-effectiveness models to assess the value for money that vaccination strategies offer in comparison to other potential health spending options. Estimates of cost-effectiveness are becoming a vital part of decision making process for many governments when considering the funding of new pharmaceutical interventions.

      UNSW Australia (The University of New South Wales) is one of Australia's leading research universities and is ranked in the top 50 universities internationally by the QS World University Rankings (2015). Based in Sydney, the infectious disease group at The School of Public Health and Community Medicine are a multidisciplinary research team that includes mathematicians, health economists, epidemiologists, clinicians and policy experts. We have extensive expertise in the evaluation of vaccine preventable diseases and have research collaborations with key international institutions such as the World Health Organization (WHO) and the US Centers for Disease Control (CDC).

      Websites: https://research.unsw.edu.au/people/associate-professor-anthony-newall
      https://sphcm.med.unsw.edu.au/research/health-economics
      https://sphcm.med.unsw.edu.au/research/infectious-diseases


      Applicant

      We seek an outstanding prospective PhD candidate with strong applied mathematics skills and a keen interest in applying these to important scientific and policy questions. Potential candidates should have a first class Honours degree or Masters degree with a high distinction average. Prior study can be from a variety disciplines, including mathematics, statistics, economics, computer science, engineering, physics, medical science, etc. It is not essential that the applicant have experience in the specific research area as our team has specialists who can offer training to candidates with applied mathematics skills as part of the PhD research.

      The supervisors will support the selected prospective candidate to apply for competitive PhD scholarship via UNSW, with options for domestic or international students. Those meeting the initial criteria who wish to discuss further should email A/Prof Anthony Newall (a.newall@unsw.edu.au) with a CV and copies of academic transcripts for all degrees.

  • PhD: Energy variability & genetic decision making..., Birmingham, UK
    • SMB Digest Vol 16, Issue 19 - May 11, 2016

      Title: Energy variability and genetic decision making in stochastic cells
      Supervisors: (Dr Iain Johnston) and Prof George Bassel

      FindAPhD entry:
      https://www.findaphd.com/search/ProjectDetails.aspx?PJID=74853.

      Description:

      Why do some cancer cells die immediately in response to chemotherapy, while others remain in a growing tumour? How do stem cells decide which tissue to form, and when to do so? Understanding cellular decision making is crucial in our attempts to predict how diseases will progress and to understand how cell-to-cell differences arise in biology. These decisions are often made by networks of interacting genes acting as biological "processors", with genes modulating each others' expression and governing cell behaviour [1]. A vital feature of these networks, often neglected in their analysis, is that they are embedded in a world subject to physical constraints: the processes involved in gene interactions require a source of energy, and take place in the chaotic and noisy environment that is the biological cell.

      Energy and noise are of central importance in cellular decisions: research from IGJ and others has shown that variability in mitochondria (fundamental energy sources in the cell) modulates stem cell fate choices, and that random influences (including collisions between molecules, and partitioning at cell divisions) have profound effects on cellular decisions [2]. Descriptions of gene regulation often omit these important dependences and so are only of limited use in predictive biomedical modelling, particularly in personalised medicine where biological heterogeneity is a key focus. Our ability to unify and harness biological "big data", particularly large-scale omics measurements of noisy transcript and protein populations, also suffers from this lack of a physical framework to quantify uncertainty and distinguish functional and spurious connections between genes. Clearly, appropriate physical models for the energy dependence and stochastic dynamics of gene regulation are required.

      This transformative project will develop, in concert, new modelling approaches to provide a bottom-up physical description of these important features, and new statistical tools forging a connection between these models and a wealth of currently available, large-scale, heterogeneous data. The researcher will use tools from stochastic processes [2, 3], dynamical systems [2, 4], and statistical inference (including likelihood-free approaches) [3, 5] to develop a unified descriptive and predictive theory linking regulation of energy-dependent and stochastic gene expression with noisy data. Some experience with these fields, and/or with biophysics/systems biology, will be helpful, but prior experience with biological topics is not essential. Through this research we aim to understand physical features governing variability in cellular decision making, to improve the reliability of in silico predictions of the behaviour of regulatory motifs and biological pathways (including stem cell fate decisions and cell death triggers), and to increase the statistical and interpretative power of omics data for understanding biology and disease.

      Funding Notes: Funding available for three years from the EPSRC, for UK or EU students only.

      References:
      [1] Karleback & Shamir, Nat Rev Mol Cell Biol 9 770 (2008)
      [2] Johnston et al., PLoS Comput Biol 8 e1002416 (2012)
      [3] Johnston et al., eLife 4 e07464 (2015)
      [4] Wang et al., Biophys J 99 29 (2010)
      [5] Johnston, Stat App Genet Mol Biol 13 379 (2014)

Postdoctoral positions

(Click on job title for additional information.)
  • Post-doc: Control of Invasive Species, U Canterbury, NZ
    • SMB Digest Vol 16, Issue 37 - September 13, 2016

      Postdoctoral Fellow - Large-scale control of invasive predators

      Geospatial Research Institute
      -Full-time (37.5 hours per week)
      -3 year fixed-term position

      The Geospatial Research Institute, in partnership with Te Punaha Matatini, seeks a postdoctoral research fellow to work on socio-ecological models of large-scale predator control. The New Zealand government recently announced the ambitious goal of completely eradicating exotic predators by 2050. To achieve this goal will require a massive coordinated effort across the country's publicly and privately owned land areas. Key stakeholders in this effort include the Department of Conservation, regional councils, NGOs and private landowners. The current "Cape-to-City" (C2C) predator control programme in Hawkes Bay and its potential extension across four regions in the lower North Island are the first steps towards predator-free New Zealand.

      The aim of this research project is to use socio-ecological models to assess the feasibility of scaling-up predator control outside traditional conservation areas and to inform decisions about resource allocation. These models will be combine ecological population dynamics models with geospatial information on land ownership and data on landowner attitudes to participation in pest control programmes.

      As the successful candidate, you will be based in the Geospatial Research Institute at the University of Canterbury in Christchurch, and will also be part of Te Punaha Matatini via its early career researcher network. You will have a PhD in mathematics, statistics or related subject, as well as advanced skills in Geospatial Sciences, excellent communication skills and experience in collaborating with researchers from different disciplines. A formal background in biology or sociology is not necessary, but an interest in these subjects is essential.

      The Geospatial Research Institute Toi Hangarau, is a broadly-conceived research institute at the University of Canterbury that conducts innovative research across the geospatial research spectrum. Our mission is to provide a national centre of gravity for geospatial research, to provide the underpinning research that enables New Zealand to more fully realize the benefits of spatial information technology.

      For information about the Geospatial Research Institute Toi Hangarau please visit us online at: http://www.science.canterbury.ac.nz/geospatial/.

      The closing date for this position is: Friday, 7 October 2016.

      Applications for this position should include a cover letter, resume and any additional attachments combined into one document and submitted online.

      Should you wish to e-mail any additional attachments or have queries in relation to the application process, please forward these to Nikki Gibbs, Recruitment Coordinator, nikki.gibbs@canterbury.ac.nz.

      Enquiries of an academic nature may be made to Associate Professor Michael Plank (Michael.plank@canterbury.ac.nz).

      For information about the range of benefits in joining UC please visit us online at: http://www.canterbury.ac.nz/joinus.

      Internal candidates should apply via the Careers option in Employee Self-Service: https://ucpeople.canterbury.ac.nz.

      The University of Canterbury is an EEO employer and actively seeks to meet its obligation under the Treaty of Waitangi.

  • Post-doc: Comp. Mod.-Cancer Genetic Networks, Bar Harbor, US
    • SMB Digest Vol 16, Issue 37 - September 13, 2016

      Postdoctoral Position in Computational Modeling of Cancer Genetic Networks

      The Lu Lab at The Jackson Laboratory is currently seeking motivated and innovative scientists for academic postdoctoral positions at the cutting edge of computational systems biology. The Lu lab, in Bar Harbor, Maine, is focused on the development and application of computational modeling methods to study the operating mechanisms of cancer genetic networks. The candidates will participate in a multidisciplinary environment and have opportunities to interact with leaders of cancer biologists within the Jackson Laboratory Cancer Center, the Jackson Laboratory for Genomic Medicine at Farmington, Connecticut, and outside the institution. Postdoctoral associates will have access to high-quality data measured by state-of-the-art experimental techniques, high-performance computing facilities and the largest repository of mouse resources in the world.

      Applicants must have a Ph.D. (or equivalent degree) and a strong background in quantitative biology, (bio)physics, systems biology or related fields, expertise in a scientific programming language, and a basic understanding of cancer genomics. Applicants must have a commitment to solving biological problems and good communication skills. Preference will be given to self-motivated and career-oriented individuals. Exceptional candidates will have the opportunity to apply to become a JAX Postdoctoral Scholar, a selective award addressing the national need for research scientists who are accomplished in the broadly defined fields of genetics and genomics. The award includes an independent research budget, travel funds, and a salary above standard postdoctoral scale (check https://www.jax.org/careers-and-training/training-opportunities/jax-postdoctoral-scholars for details)

      The Jackson Laboratory in Bar Harbor, Maine, USA, is recognized internationally for its excellence in research, unparalleled mouse resources, outstanding training environment characterized by scientific collaboration and exceptional core services - all within a spectacular setting adjacent to Acadia National Park. The Jackson Laboratory was voted among the top 15 "Best Places to Work in Academia" in the United States in a poll conducted by The Scientist magazine. The Jackson Laboratory Cancer Center (JAXCC) is one of seven NCI-designated Cancer Centers with a focus on basic cancer research.

      To apply, please submit a cover letter, a current CV, a statement of research interests and the names of three references online. Select link for Bar Harbor position #5717 at https://jax.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&jobid=220109&company_id=15987&version=3&source=ONLINE&jobOwner=968714&aid=1

      The Jackson Laboratory is an EOE/AA Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.

  • Post-doc: Mod. Viral Hepatitis Dynamics, Loyola U Med, Chicago
    • SMB Digest Vol 16, Issue 37 - September 13, 2016

      In the Program for Experimental & Theoretical Modeling (PETM), Division of Hepatology at Loyola University Chicago Medical Center, we conduct research at the interface of experimental and theoretical biology with an emphasis on viral infection dynamics and treatment response with a particular focus on hepatitis viruses. We are looking for an enthusiastic postdoctoral scientist with mathematical and statistical skills and a strong interest in viral dynamics. Preference will be given to candidates with research experience in the core areas of PETM; a track record of publications; and commitment to work to the highest standards. The candidate should have good programming skills, good working knowledge of one or more mathematical, modeling or statistical packages (e.g., Matlab, Monolix, R) and excellent English (both written and oral). A PhD in applied mathematics, statistics, computer or computational science, or mathematical biology is appropriate. Interested?...please send your CV and names + email addresses of two references to Dr. Harel Dahari (hdahari@lumc.edu).

      Job posting: http://ssom.luc.edu/medicine/divisionsspecialties/hepatology/programforexperimentalandtheoreticalmodeling/researchopportunities/

  • Post-doc: Modelling Randomness & Uncertainty, U Manchester
    • SMB Digest Vol 16, Issue 36 - September 6, 2016

      Postdoc opportunity, University of Manchester, UK "Modelling randomness and uncertainty in biological and physiological multi-scale systems" School of Physics & Astronomy / School of Mathematics, working with Tobias Galla / Oliver Jensen Closing date: 22 September 2016 Duration: ASAP until 30 September 2017 Further details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=12012

  • Post-doc: Breast Cancer Cell Migration, McGill U, Montreal
    • SMB Digest Vol 16, Issue 36 - September 6, 2016

      Biophysical Tools for the Study of Breast Cancer Cell Migration and Invasion

      Overview: Applications are invited for a Postdoctoral Fellow in the Life Sciences Complex at McGill University in Montreal, Canada. Candidates should have a recent Ph.D. degree in the areas of Biophysics, Cell Biology, Cancer Biology, Bioengineering or a related field with an excellent track record for innovative research at the graduate level. With a strong focus on interdisciplinary work the project will involve a collaboration between labs in cancer biology, biophysics and cellular biomechanics. McGill is ranked among the finest research-intensive universities in the world. The trainee will have access to the Advanced BioImaging Facility, Cell Imaging and Analysis Network and extensive light microscopy workshops and courses. They will have opportunities to attend seminars from world-renowned scientists speaking in Physiology, Biochemistry, Bioengineering and the Goodman Cancer Research Centre. There will also be links to the private sector for the development of custom acquisition and analysis software tools.

      Project Summary: The candidate will join a multidisciplinary team to develop a biophysical toolbox to measure forces in migrating cells, while simultaneously quantifying focal adhesion protein dynamics and interactions. This toolbox will be applied to investigate the role that the mechano-sensitive protein called lipoma preferred partner (LPP) plays in regulating breast cancer cell migration, invasion and metastasis using 1D, 2D and 3D cell model systems, tunable viscoelastic substrates, traction force microscopy (TFM), and image correlation microscopy (ICM). These tools will be used to decipher the complex molecular mechanisms controlling cell-matrix adhesion, cell migration, invasion and metastasis, and will be broadly applicable to researchers in diverse physical, life and health sciences fields.

      Education and Experience: PhD in preferred areas including Biophysics, Cell Biology, Cancer Biology, Bioengineering

      Compensation: The initial appointment is 1-year. Expected start date of September 1, 2016. There is potential to renew for 2 additional years. Starting salary of $38,000-$42,000, depending on experience.

      Major Duties and Responsibilities:
      1. Tissue culture, transfections, live cell imaging, basic microbiology.
      2. Development of TFM in 1D, 2D and 3D model systems.
      3. Development of ICM for measuring protein dynamics and interactions in focal adhesions in 1D, 2D and 3D model systems.
      4. Develop a software interface in MatLab and then extend that to MetaMorph for TFM and ICM.
      5. Determine the mechanisms used by LPP - a zyxin family member - in regulating breast cancer cell migration and invasion.
      6. Oversight and mentorship of graduate students working on the project.
      7. Keep abreast of the literation in the area.
      8. Take a lead role in manuscript writing.
      9. Present the work at national and international meetings.

      Specific Experience Required:
      1. TFM or ICM an asset.
      2. MatLab and/or MetaMorph. Basic programming for image processing and analysis.
      3. Live cell imaging.
      4. Working with 3D cultures.
      5. Micropatterning.
      6. TIRF, confocal microscopy, spinning disk microscopy.
      7. Ability to work independently and efficiently but also work well as a part of a team.
      8. Strong verbal and written communication in English.

      The list of duties and responsibilities outlined above is representative and not a complete and detailed list of tasks, which may be performed by an employee whose position has been matched to this description.

      How To Apply: Candidates should send a cover letter indicating their area of scientific expertise, their curriculum vitae, a one-page statement of past and future research interests, and the names and contact information of three references to: Dr. Claire Brown Assistant Professor, Physiology McGill University claire.brown@mcgill.ca

  • Post-doc: Mathematical Neuroscience, U Utah, US
    • SMB Digest Vol 16, Issue 35 - August 30, 2016

      Applications are invited for a 3-year postdoctoral fellowship in mathematical neuroscience to work with Professor Paul C. Bressloff at the University of Utah. This position is jointly funded by the NSF and the Department of Mathematics.

      Candidates should hold a Ph.D. in mathematics or theoretical physics, and have some experience in numerical methods/scientific computing.

      The initial focus of the research program will be neural field theory and models of visual cortex. However, there is also scope to work on stochastic models in molecular and cellular neurobiology.

      Applications must be completed through the general website for postdoctoral positions, www.mathjobs.org/jobs/Utah. A complete application includes a cover letter, CV, publication list, research statement, teaching statement, and at least three letters of recommendation (at least one of which should address the applicant's teaching). Completed applications received before January 1, 2017, will receive full consideration by the Departmental Instructorship Committee.

      Informal inquiries about this posting can be made by sending an email to bressloff@math.utah.edu.

  • Post-doc: Computational Biologist, USDA-ARS, Hawaii, US
    • SMB Digest Vol 16, Issue 35 - August 30, 2016

      Seeking exceptional postdoctoral scientist to join the Manoukis lab at the Daniel K. Inouye US Pacific Basin Agricultural Research Center in Hilo, Hawaii (USDA-ARS). Develop and implement automated algorithmic approaches to the design and deployment of landscape-level trap networks for surveillance and detection of invasive insect pests. Primary duties will involve computer programing, modeling and simulation of insect populations, and integration of biologically- relevant parameters from field or laboratory studies into mathematical models. Some light fieldwork with tephritid fruit flies, pests of economic importance around the world, is possible. The ideal candidate will have a degree in Biology, Computer Science, Engineering, Mathematics or related discipline, strong mathematical background focused on modeling and simulation, and computer programing experience. Background in machine learning, remote sensing and GIS are highly desirable. So is previous work with, or interest in, insect systems.

      Position includes a competitive pay package, exciting research opportunities within and beyond the project scope, and the unique opportunity to experience living on Hawaii Island. Funding is initially for 2 years, with extension possible depending on funding. Open to U.S. citizens and certain permanent residents of the USA.

      Please contact Nicholas Manoukis nicholas.manoukis@ars.usda.gov for more information and/or visit the following URLs for more information on current research: http://www.ars.usda.gov/pandp/people/people.htm?personid=46055 and http://unitsci.org:8080/manoukis.php. USDA is an equal opportunity provider and employer. To apply, see https://www.usajobs.gov/GetJob/ViewDetails/446858700/

      Position will remain open until Saturday 4/15/2017 or until filled.

  • Post-doc: Cardiomyocyte & Mitochondrial Function, Wisconsin, US
    • SMB Digest Vol 16, Issue 34 - August 23, 2016

      Position: Postdoctoral fellowship Organization: Medical College of Wisconsin Location: Milwaukee Deadline: Open until the position is filled

      Description: Applications are being sought for a position of postdoctoral fellowship at the Medical College of Wisconsin in the areas of Computational and Systems Biology of cardiomyocyte and mitochondrial functions in health and diseases. The prospective postdoctoral fellow will work on an integrative research project built-on combining computational modeling and experimental measurements of cardiac mitochondrial and cellular functions (electrophysiology, bioenergetics, cation homeostasis, reactive oxygen species (ROS) emission) with an overall goal of quantitatively understanding the biophysical and biochemical mechanisms associated with mitochondrial and cellular dysfunctions in cardiac ischemic-reperfusion (IR) injury and related pathologies. This research is critical for identifying important mitochondrial and cellular targets for developing effective cardioprotective strategies against IR injury and related pathologies. Funding for this research is through a NIH-funded Program Project Grant, which involves close collaborations with various faculties within the Departments of Physiology, Biomedical Engineering, and Anesthesiology. The fellow will have the opportunity to participate in wet-lab experiments (isolated mitochondria, isolated cardiomyocytes, and ex-vivo and in vivo hearts) in addition to the computational modeling. The research will provide significant training and exposure to mechanistic computational modeling of integrated biochemical and metabolic systems (e.g. calcium-ROS interactions) as well as biological mass transport and exchange processes. The fellow will gain significant training and experience to become an independent researcher in the larger field of research.

      Qualifications: The minimum criteria for the position are enumerated below: (1) A Ph.D. degree in bioengineering, biomedical engineering, biochemical engineering, biophysics, biochemistry, applied mathematics, or a related scientific field. Completion of the Ph.D. dissertation within the last 2 years will be highly desirable. (2) A strong background in cardiovascular physiology and cellular metabolism, mathematical modeling of physiological and metabolic systems, experimental data analyses, computational methods, and scientific and technical computing skills using MATLAB. Experience in computer programming using other languages, such as FORTRAN, C, C++ will be an added advantage. Hands-on experience in wet-lab work pertinent to cardiomyocyte and mitochondrial physiology will be highly desirable. (3) Excellent communication skills (written/spoken English) and a demonstrable leadership in publishing in peer-reviewed journals and receiving academic excellence. (4) Lastly, the applicant should have a keen desire and initiative to learn, and the ability to function as part of a team.

      Application Process: Interested applicants should submit a single pdf file with (1) letter of intent outlining their qualifications and career objectives, (2) Curriculum Vitae and list of publications, and (3) contact information for 3 references who may be contacted. Application package and reprints of 3 representative publications should be sent electronically to Dr. Ranjan Dash, Departments of Physiology and Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI-53226 (Email: rdash@mcw.edu). Salary will be based on NIH scale that commensurate with background and experience. Medical College of Wisconsin is an equal opportunity employer.

  • Post-doc: Systems Pharmacology/Biology, U Florida, US
    • SMB Digest Vol 16, Issue 34 - August 23, 2016

      Minimum Education: Ph.D. or equivalent degree in quantitative sciences including Systems Biology/Pharmacology, Pharmacometrics, Biochemical Engineering, and/or Biophysics

      Position Description: The Center for Pharmacometrics and Systems Pharmacology in collaboration with a pharmaceutical partner is offering a two-three year, full-time, postdoctoral research associate position in translational pharmacokinetics-pharmacodynamics (PKPD) and quantitative systems pharmacology (QSP). The position starts immediately and focuses on the application of QSP with translational PKPD analysis, novel biomarker identification analysis for a specific disease area and disease progression modeling.

      Additionally, postdoctoral research associates at CPSP have the opportunity to be engage in a combination of duties that will include research projects, graduate student mentoring, grant writing and classroom teaching experiences. Fellows will also gain experience outside the University of Florida through industry or FDA internships or off-site participation in research with our Orlando partners including the Sanford Burnham Medical Research Institute (SBMRI), Nemours Children Hospital, and SBMRI-Florida Hospital Translational Research Institute. It is expected that fellows attend and present at professional meetings, participate in workshops and seminars and prepare at least 3-4 peer-reviewed publications to build a foundation for personal career achievements. In addition to the scientific and clinical duties, fellows are given the opportunity to grow their "soft skills", such as oral communication, presentation skills and working on multi-disciplinary teams.

      Job Qualifications Preferred qualifications for the position are a doctoral (Ph.D. or equivalent) degree in quantitative sciences including Pharmacometrics, Biochemical Engineering, and Systems Pharmacology/Biology as well as knowledge of, or experience in, therapeutics in one or more disease areas with an interest in pursuing a career in Pharmacometrics and Quantitative Systems Pharmacology. The ideal candidate should possess strong programming skills, excellent written and verbal communication, good organizational abilities, and team work. A background and understanding of basic pharmacology, pharmacometrics and/or systems biology/pharmacology is preferred and strong hands-on knowledge in using software platforms such as NONMEM, MATLAB, R/SAS or other software/ scripting languages is required. The candidate must be self-directed and self-motivated.

      Center for Pharmacometrics and System Pharmacology (CPSP) Overview The CPSP (http://cpsp.pharmacy.ufl.edu/) is located in the University of Florida Academic & Research Center at the Lake Nona Medical City about 5 miles southeast of the Orlando International Airport. The CPSP provides an academic home to a multidisciplinary and integrative, quantitative clinical pharmacology program in drug development and regulatory science. Lake Nona Medical City (http://www.lakenona.com/medical-city/) is a landmark for Orlando and a premier location for medical care, research and education. It is anchored by University of Central Florida Medical School, the Sanford-Burnham Medical Research Institute, the newest VA Medical Center in the country, the Nemours Children's Hospital, and University of Florida Academic & Research Center. In addition to the pharmaceutical industry and the FDA, CPSP will also provide the opportunity for hard-working and self-motivated candidates to work collaboratively with a multidisciplinary group of scientists from other institutes and hospitals in the Orlando area.

      How To Apply Please send curriculum vitae, a brief letter of interest and contact information for three references to Dr. Mirjam N. Trame via email to mtrame@cop.ufl.edu.

  • Postdoc: Integrative Bioinformatic Analyses of Head and Neck Cancer, Germany
    • SMB Digest Vol 16, Issue 34 - August 23, 2016

      The Helmholtz Zentrum München in Munich, Germany, is a member of one of the leading research associations in Europe - the Helmholtz Association of German Research Centers. The aim of our research is to proactively detect health risks involving humans and the environment, decoding the mechanisms of pathogenesis and developing concepts for prevention and therapy. In the framework of the Helmholtz initiative Personalized Medicine (iMed) a close collaboration between the Institute of Diabetes and Cancer, The Research Unit Radiation Cytogenetics and the Clinical Cooperation Group "Personalized Radiotherapy of Head and Neck Cancer" has been established. For an interdisciplinary research project we are searching for a Postdoc (f/m).

      Postdoc f/m for integrative bioinformatic analyses of head and neck cancer (2016/3213)

      Job Description
      - Preprocessing and analysis of high-dimentional data from different molecular levels (miRNA, DNAmeth, RNAseq, DNAseq, arrayCGH)
      - Association analyses of omics data with clinical data, in particular with metabolic parameters, and subsequent prediction analyses with respect to radiation therapy response
      - Reconstruction and analysis of regulatory networks
      - Establishment of cell culture models for the functional characterization of candidate targets with an emphasis on metabolic dysfunctions

      Your Qualifications
      - PhD in biology, molecular biology, bioinformatic, biostatistics or in related discipline
      - Experience in statistics and analysis of omics data
      - Profound knowledge of techniques in molecular biology/cell biology is of advantage
      - Excellent communication and teamwork skills
      - Willingness for interdisciplinary work with the collaborating units

      Our Offer
      - Working in an innovative, well-equipped and scientifically stimulating surrounding
      - Further training opportunities
      - Initial short-term employment contract for 2 years with a standard public service salary (TV EntgO Bund EG 13)

      The activity involves special knowledge and experience specific to own scientific skills.

      The Helmholtz Zentrum München as holder of the Bavarian Advancement of Women Prize and of the Total E-Quality Certificate is striving to increase the overall proportion of women on its staff and thus expressly urges qualified women to apply.

      We are looking forward to receiving your comprehensive online application until 16 September, 2016.

      online application https://fragebogen.candibase.de/helmholtz/mainform.php?param=65a538092b6cf6969969b90ec5a24a31&&vs=1&comp=0&lang=en

  • Post-doc: Computational Epigenetics, NIH
    • SMB Digest Vol 16, Issue 33 - August 16, 2016

      Department of Health and Human Services National Institutes of Health, National Institute on Aging

      Postdoctoral opportunity in Computational Epigenomics at the National Institutes of Health, USA

      A competitive postdoctoral fellowship is available, pending approval, at the National Institute on Aging, NIH, for developing computational methods to analyze high-throughput sequencing- based chromatin assays. The successful applicant will work in the laboratory of Dr. Myong-Hee Sung, Transcription Systems Dynamics and Biology Unit located on the Johns Hopkins Bayview campus, Baltimore, Maryland.

      We are seeking highly motivated recent Ph.D. scientists who are interested in investigating outstanding questions in epigenomics using statistical and computational tools. An ideal candidate will have a Ph.D. degree in mathematics, physics, engineering, or a related quantitative discipline, and has some knowledge in molecular biology or genomics methods. Proficiency in one or more programming languages such as C++, Python, R, MATLAB, Perl is required, in addition to familiarity of commonly used computational genomics tools. To apply, please send a cover letter, curriculum vitae, and contact information for 3 references to: sungm@mail.nih.gov

      Relevant publications:
      -Sung MH et al. Genome-wide footprinting: ready for prime time? Nature Methods 2016 (PMID: 26914206)
      -Sung MH et al. DNase footprint signatures are dictated by factor dynamics and DNA sequence. Molecular Cell 2014 (PMID: 25242143)
      -Kieffer-Kwon KR et al. Interactome maps of mouse gene regulatory domains reveal basic principles of transcriptional regulation. Cell 2013 (PMID: 24360274)


      About training at NIH: Postdoctoral training in the NIH Intramural Research Program (IRP) provides the opportunity for recent doctoral degree recipients to enhance their research skills in the resource-rich National Institutes of Health (NIH) environment, which consists of more than 1200 laboratories/research projects located on the main campus in Bethesda, MD and the surrounding area as well as in Baltimore and Frederick, MD; Research Triangle Park, NC; Hamilton, MT; Framingham, MA; and Detroit, MI. Trainees pursue basic, translational, and clinical research free from the demands of obtaining grants and teaching, although opportunities to do both are available. At the NIH, postdocs work in a highly collaborative research environment with leading scientists and clinicians. The postdoctoral community at the NIH is large (approximately 4,000 strong) and vibrant. Trainees come from across the U.S. and around the world. Support for international postdocs is provided by the NIH Division of International Services.

      Eligibility: To be eligible for postdoctoral training in the NIH IRP, individuals must hold a doctoral degree (PhD, MD, DDS, or the equivalent) and have no more than five years of relevant research experience since receipt of their most recent doctoral degree. U.S. citizens and permanent residents are appointed to Postdoctoral Intramural Research Training Awards (IRTAs); citizens of other nations are appointed as Visiting Fellows.

      Stipend and Benefits: The stipends for postdoctoral trainees at the NIH are adjusted yearly; with supplements for prior experience, multiple degrees, and expertise in areas of current interest to the NIH such as mathematics, engineering, chemistry, and bioinformatics. Note that stipends for Postdoc IRTAs and Visiting Fellows are identical. Benefits include health insurance for the trainee and his/her family, and support for coursework related to the trainee's research and travel to meetings is often available. In addition, the NIH Fellows Committee (FelCom) and the NIH Office of Intramural Training & Education (OITE) sponsor a wide range of career development and social activities. The OITE includes an Office of Postdoctoral Services, a Career Services Center and Career Library.

      DHHS and NIH are Equal Opportunity Employers. The NIH is dedicated to building a diverse community in its training and employment programs.

  • Postdoctoral Fellowship in Modelling and Simulation, BCAM
    • SMB Digest Vol 16, Issue 32 - August 9, 2016

      BCAM, the Basque Center for Applied Mathematics http://www.bcamath.org whose mission is to develop high quality interdisciplinary research in the frontiers of Applied Mathematics, has opened the following positions:

      ONE Postdoctoral Fellowship in Modelling and Simulation in Life and Materials Sciences

      Deadline for submission: September 20 2016, 17:00 [UTC/GMT + 1 hour]. All applications must be submitted on-line at: http://www.bcamath.org/en/research/job

      We kindly ask you to distribute this call among colleagues and potential candidates. Please, do not hesitate to contact us if you need further information: recruitment@bcamath.org.

  • Postdoctoral Investigator: Metacommunity Dynamics, Woods Hole
    • SMB Digest Vol 16, Issue 32 - August 9, 2016

      Postdoctoral Investigator: Hydrothermal Vent Metacommunity Dynamics Biology Department, Woods Hole Oceanographic Institution

      We seek a postdoctoral investigator to develop and analyze mathematical models describing the processes that generate patterns of species diversity observed at deep-sea hydrothermal vents. We are particularly interested in how metacommunity processes - including dispersal, disturbance, and succession - interact to drive patterns of diversity.

      The ideal candidate will have completed a Ph.D. in Applied Mathematics, Biological Oceanography, Ecology, or a related discipline and have demonstrable expertise in mathematical ecology (in particular, the mathematical modelling of population and/or community dynamics). The successful applicant will work with the three PIs (Michael Neubert, Lauren Mullineaux, and Julie Kellner) at the Woods Hole Oceanographic Institution, in Woods Hole, Massachusetts. The Institution has a top-rated postdoctoral program (www.whoi.edu/postdoctoral/) that supports a dynamic postdoctoral community with formal mentoring and career guidance programs. While the primary focus of the work will be on research, the postdoctoral investigator will have an opportunity to participate in educational and outreach activities associated with the project.

      We will begin reviewing applications August 15, 2016 and the position will remain open until filled (preferably by the end of the year). The initial appointment will be for one year, with the possibility of extension for a second year based upon performance.

      Please contact Michael Neubert (mneubert@whoi.edu), Lauren Mullineaux (lmullineaux@whoi.edu), or Julie Kellner (jkellner@whoi.edu), with questions about the project. To apply, please submit, as a single pdf file, an application (including a short cover letter, a curriculum vita, a statement of past research experience and future interests, contact information for three references, and at most two relevant manuscripts), to Michael Neubert and online (bit.ly/1Rj2zKj).

      WHOI is an Affirmative Action/Equal Opportunity Employer/Disabled/Veterans/M/F. We encourage veterans and those with disabilities to apply. Applications are reviewed confidentially. Applicants that require accommodation in the job application process are encouraged to contact the Human Resources Department at (508) 289-2253 or email eeo@whoi.edu for assistance. WHOI is a member of the Higher Education Recruitment Consortium (HERC). We are sensitive to the issues of dual career candidates and we will work with applicants to address them. Please visit HERC for more information.

  • Post-docs: Drug Toxicity & Epidemic/AMR Model., U Liverpool, UK
    • SMB Digest Vol 16, Issue 31 - August 2, 2016

      We are looking to appoint two post-doctoral researchers to our EPSRC-funded Liverpool Centre for Mathematics in Healthcare (https://www.liverpool.ac.uk/mathematical-sciences/research/centre-for-mathematics-in-healthcare/). The positions match two of the three main themes of the centre.

      Position 1: A 2-year position to start in autumn 2016. The research will investigate drug toxicology using multi-scale modelling approaches. The aim of this project is to develop a framework for generating 3D spatial-temporal models to predict liver toxicity. There is flexibility in the research depending on the background and interests of the appointed candidate. For example, the focus could be on developing constitutive equations for drug transport using homogenisation techniques, or on how population heterogeneity affects the dynamical system representing the drug metabolic pathway. More details on the position and how to apply can be found here https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/001144.

      Position 2: A 3-year position to start in autumn 2016. The research will investigate the evolution of antimicrobial resistance in a heterogeneous healthcare environment. This will be used to inform healthcare policy on the prescription of antibiotics. There is flexibility in the research depending on the background and interests of the appointed candidate. The research is likely to be a blend of application with theoretical developments in the dynamics of co-existence and evolution. More details on the position and how to apply can be found here https://www.liverpool.ac.uk/working/jobvacancies/currentvacancies/research/001146/.

      The deadline for applications for both positions is Monday 29th August.

  • Post-docs: Math Biology, U Maryland
    • SMB Digest Vol 16, Issue 30 - July 26, 2016

      Statistical Ecology

      We seek a quantitative researcher with fluency in statistics to work in a team environment on projects related to animal movement. Example topics include analyzing a dataset on the movements of monkeys in 3 dimensions and developing/refining methods for dealing with barriers in the continuous- time movement modeling framework. The person must be able to work productively in a team environment that includes physicists and ecologists. Knowledge of R is necessary and experience with spatial statistics and/or signal processing is desirable. Previous experience with movement ecology is not required, but would be beneficial. We are particularly interested in someone with these quantitative skills who also has a documented history of writing papers in ecological journals. This postdoc is funded through a combination of NSF and institutional funds. Funding is available for one year, with the possibility of an extension to two years. Project leaders are: Justin Calabrese, Smithsonian Conservation Biology Institute Bill Fagan, Univ. of Maryland

      Epidemiological Modeling

      We seek a postdoctoral researcher with a background in mathematics, mathematical biology, or a related field to aid in developing, analyzing, and simulating models of tick and mosquito-borne diseases. Example topics include analytical / computational models of diseases with multiple hosts, parameterizing detailed disease models and fitting them to prevalence data, and studies of how seasonality and climate change influence disease dynamics. Ability to work in a team environment is essential. At a minimum, applicants should have experience with analysis of ordinary and partial differential equations. Experience with non-autonomous and/or delay differential equations would be beneficial. Those with experience using control techniques are especially encouraged to apply. Coursework or some other background in epidemiology is preferable but not required. Funding, which is available for one year, with the possibility of an extension to two years, is through a US Dept of Defense project entitled "Biological Timing and the Transmission of Arthropod-Borne Diseases," which includes collaboration with mathematician Folashade Agusto (University of Kansas). Project leaders are: Sharon Bewick & Bill Fagan, Univ. of Maryland Justin Calabrese, Smithsonian Conservation Biology Institute

      Start dates for both positions are September to December 2016, but can be adjusted for the right candidate. For both positions, please send CV, short statement of interest, and contact info for 3 references to: bfagan@umd.edu

  • Post-doc: Forest-Grassland Ecotones, U Guelph, Canada
    • SMB Digest Vol 16, Issue 29 - July 19, 2016

      Postdoctoral researcher in modelling forest-grassland ecotones,University of Guelph, Canada

      We are seeking a PDF for a large collaborative project on modelling forest-grassland ecotones in the face of global ecological changes including agriculture and climate change. The candidate should have a strong background in ecological modelling (mathematical and/or computational), some experience with field work in terrestrial systems and/or using empirical data in modelling, and a strong related publication record. Start date in 2016 or early 2017. More information can be obtained by contacting Prof. Madhur Anand, anand.madhur@gmail.com, at the Global Ecological Change & Sustainability Laboratory, University of Guelph. Please include a CV with your enquiry, and note that we cannot respond to all enquiries.

  • Post-doc: Computational Epidemiology, Simon Fraser U, Canada
    • SMB Digest Vol 16, Issue 28 - July 12, 2016

      Are you a creative, motivated, and talented researcher with a background in mathematics, computer science, quantitative biology or operations research? Do you have an interest in making a difference in infectious disease research? Then this is the opportunity for you!

      Our group explores a range of problems centred around the study of infectious disease genomes. Our projects straddle computational and systems biology, epidemiology, and public health policy; our current projects include:

      -an integrative analysis of genomic markers (SNPs, copy numbers, MLST, rearrangements), with the goal of identifying epidemiologically-related strains during a bacterial outbreak
      -analysis and visualization of genetic, geographic and temporal patterns in an outbreak, with the goal of identifying transmission hotspots and risk factors for tuberculosis
      -identification and dynamical modelling of bacterial diversity within ticks, with the goal of understanding the ecological processes driving the evolution of Lyme disease pathogens


      Our North American collaborators include the British Columbia Centre for Disease Control (BC CDC), the British Columbia Centre for Excellence in HIV/AIDS (BC-CfE), and the New York City Department of Health and Mental Hygiene (NYC DOHMH). We also collaborate internationally with groups in the United Kingdom, France, Germany, India, China and South Africa.

      The ideal candidate for this position will have:
      -a PhD in a quantitative discipline (mathematics or computer science preferred) by August 2016
      -a strong publication record (at least two published papers and one other in preparation)
      -an interest in designing models and algorithms for solving biological or epidemiological problems
      -advanced knowledge of at least one of: C++, Java, MATLAB, Python, R
      -expertise in discrete mathematics, combinatorial optimization, machine learning or statistics
      -experience in designing and building robust computational pipelines in a Unix-like environment

      A complete application should include a statement of interest, a CV, the names of 2 references, and a link to the repository of a programming project you took part in. Please submit applications to Leonid Chindelevitch, leonid@sfu.ca, with "Postdoctoral fellowship" in the subject line. All applications will be considered; preference is given to Canadian citizens or permanent residents. The starting date is September 1, 2016, and the position will remain open until filled.

  • Post-doc: Whole-cell Modeling, Mt Sinai, New York City
    • SMB Digest Vol 16, Issue 28 - July 12, 2016

      The Karr Lab at the Institute for Genomics & Multiscale Biology at the Icahn School of Medicine at Mount Sinai is seeking talented, ambitious researchers to develop cutting-edge whole-cell computational models of individual cells, as well as new technologies to enable larger and more accurate whole-cell models. Despite the explosion of experimental data, we do not understand the details of how phenotype arises from genotype and the environment. We are developing whole-cell computational models which comprehensively predict how behavior emerges from the molecular level by representing all of the biochemical activity inside cells. Our goal is to use whole-cell models to transform bioengineering and medicine into rigorous, quantitative disciplines. For example, we believe that whole-cell models could enable bioengineers to design microbial genomes for a variety of industrial applications, as well as enable physicians to tailor medical therapy to individual patients. Our research is highly interdisciplinary, involving systems biology, genomics, bioinformatics, data integration, parallel simulation, optimization, software engineering, and data visualization, and highly team-oriented.

      Responsibilities
      We are currently looking for team members in three areas:

      -Human whole-cell modeling. The candidate will develop a whole-cell model of human embryonic stem cells and use the model to gain insights into pluripotency maintenance among other fundamental cell behaviors. This will include aggregating and organizing experimental data, designing submodels, integrating submodels, fitting models, validating models, analyzing simulations, and using models to generate new hypotheses. There are also many opportunities to contribute to the development of new whole-cell modeling methods and tools. The candidate will work closely with our team at Mount Sinai, including our experimental collaborators.

      -Bacterial whole-cell modeling. The candidate will lead the development a whole-cell model of the reduced bacterium Mycoplasma pneumoniae and use the model to design more predictable, faster-growing, and non-virulent strains that could serve as chassis for future bioengineering such as a bacterial-based drug synthesis and delivery system. This includes expanding the scope of whole-cell models; improving the accuracy of whole-cell models; using new types of genomic data to train whole-cell models; systemizing the construction, representation, and simulation of whole-cell models; and developing new methods to use whole-cell models to design genomes. The candidate will work closely with our team at Mount Sinai, as well as our Minicell consortium experimental collaborators: Maria Lluch-Senar and Luis Serrano at the Center for Regulatory Genomics in Spain; Yonaton Arfi, Alain Blanchard, Carole Lartigue, and Pascal Sirand at the National Institute for Agricultural Research in France; and Jörg Stülke at the University of Göttingen in Germany. This project is supported by the NSF and ERASynBio.

      -Whole-cell modeling methods and technology development. To enable larger whole-cell models, including models of human cells, the Postdoctoral Fellow/Engineer will develop new methods for simulating large, multi-algorithmic whole-cell models. This will include developing a new algorithm for concurrently integrating mathematically heterogeneous submodels that share state and implementing this as a high-performance, parallel simulation software system. The Postdoctoral Fellow/Engineer would work closely with our team at Mount Sinai, as well as our parallel simulation collaborators Drs. Peter Barnes and David Jefferson at Lawrence Livermore National Laboratory and our broader international team of collaborators. The Postdoctoral Fellow/Engineer would also have many opportunities to work with our team to build and analyze whole-cell models.

      Desired skills/experience Whole-cell modeling is a highly interdisciplinary problem. Consequently, we're looking for people with a broad range of skills and experience. The ideal candidate has the following skills. Applicants with related experience are also encouraged to apply.
      -PhD in computational biology or related field;
      -Strong experience in dynamical and/or genome-scale modeling;
      -Broad knowledge of cell biology, genomics, mathematics, and computer programming;
      -Deep commitment to innovation and desire to tackle the most challenging problems;
      -Abilities to solve challenging problems by thinking creatively, integrating diverse concepts, and pushing through barriers;
      -Passion for transforming bioengineering and medicine;
      -Excellent oral and written communication skills; and
      -Abilities to work independently and within a team.

      Salary Commensurate with experience and education.

      Benefits All employees are eligible for medical, dental, and health insurance. Subsidized housing is available for postdoctoral fellows.

      About the Institute for Genomics & Multiscale Biology and the Icahn School of Medicine at Mount Sinai The Icahn Institute for Genomics & Multiscale Biology is a leader in basic and translational genomic and computational biology research. The institute's multidisciplinary researchers bring state-of-the-art genomic technologies together with advanced computational analyses to discover new disease mechanisms, develop new diagnostics, and identify new drug targets. The institute is a highly collaborative and interdisciplinary environment. Please see the institute's website for more information.

      The Icahn School of Medicine at Mount Sinai is a world leader in translational medicine. The school's multidisciplinary research institutes foster collaboration along a seamless continuum from the laboratory to patient care. State-of-the-art laboratories support groundbreaking research, and abundant clinical venues offer superb patient care and training.

      More information Please see our website (http://www.karrlab.org/join) or contact Jonathan Karr (karr@mssm.edu).

      How to apply Please email a cover letter outlining your research interests and a CV to Jonathan Karr (karr@mssm.edu).

  • Postdoctoral opportunity: Clostridium difficile dynamics, NCSU
    • SMB Digest Vol 16, Issue 28 - July 12, 2016

      One postdoctoral associate position on infectious disease modeling is available in Cristina Lanzas' group (Department of Population Health and Pathobiology, North Carolina State University). Applicants with a background in mathematical modeling of infectious diseases and/or population biology are highly encouraged to apply.

      The successful candidate will join an interdisciplinary group modeling Clostridium difficile dynamics in health-care settings. Clostridium difficile is one of the most common health-care associated pathogens. The group is developing mean-field and agent-based models. The postdoctoral fellow will ideally work in expanding existent models to integrate multiple scales and data sources (e.g. omic, clinical and epidemiological data), linking C. difficile within host dynamics and transmission.

      The postdoctoral associates shall have a Ph.D. degree in a relevant quantitative discipline (ecology, epidemiology, engineering, applied mathematics, statistics and related fields) and have a deep interest in interdisciplinary collaboration, strong quantitative skills and good oral and writing skills are expected. The applicants must have experience in R and/or MATLAB. Previous experience developing and implementing agent-based models and/or multi-scale models is desirable. The salary will be commensurate with the qualifications and experience of the individuals. Review of applications will begin July 11th and will continue until a suitable candidate is identified.

      Interested applicants should submit a letter of intent, curriculum vitae and the names and contact information for three references to clanzas@ncsu.edu.

  • Postdoctoral opportunity: Modeling viral evolution, UPMC, France
    • SMB Digest Vol 16, Issue 27 - July 5, 2016

      Dr. Igor Rouzine at LQCB, Institut de Biologie Paris-Seine, Universite Pierre et Marie Curie, Paris, seeks to fill two postdoctoral positions to model viral evolution on multiple scales of biological organization. The Laboratory of Quantitative and Computational Biology offers a unique environment of four experimental and five theoretical teams working on different biological topics. The topics of this project, conducted in collaboration with data analysts and experimental teams at UPMC and elsewhere, include applied virus evolution (virulence, evasion of immune response), general mathematical methods and numeric tools, and HIV pathogenesis. Clinically, the project is connected to the development of new types of therapy, vaccines, and personalized medicine. The candidate should possess solid numeric and some analytic skills and have some experience in modeling biological systems. A successful candidate will be intellectually independent but flexible and able to thrive in an interdisciplinary environment. Results will be published in leading journals and used to guide experiments of collaborating teams. The positions will start in the Fall of 2016, October 1, and will remain open until filled. Interested individuals are requested to send their CV, publication list, and names and electronic addresses of two references to igor.rouzine@ucsf.edu.

  • Postdoc Position: Department of Engineering Science, University of Oxford
    • SMB Digest Vol 16, Issue 26 - June 29, 2016

      Grade 7: Salary in the range £30,738 - £37,768 p.a. We seek a Postdoctoral Research Assistant to join the Control Engineering group in Engineering Science (central Oxford). The position is funded by EPSRC and is fixed-term for up to 36 months. This post is at the interface of Synthetic Biology and Control Engineering. You should have a good first degree in engineering or mathematics and have completed or about to complete a doctorate in control engineering/dynamical systems or mathematical biology. A good publication record commensurate with your stage of career is expected. You must have the organisational skills and initiative to carry out independent research and be able to work as part of an interdisciplinary team. Experience of developing mathematical algorithms and simulations, in modelling biological systems and in the analysis and design of feedback control systems is essential. The successful candidate will benefit from an international collaboration with MIT, ETHZ, the Caltech and KAIST as well as Microsoft Research, Cambridge and will become part of the growing and flourishing Synthetic Biology community in Oxford. The work will be partly mathematical, partly computational and will involve close interaction with researchers in the biological sciences. Informal enquiries may be addressed to Professor Antonis Papachristodoulou (email: antonis@eng.ox.ac.uk). Further information can be found at www.eng.ox.ac.uk/jobs/home You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application. Only applications received before 12.00 midday on 8 July 2016 can be considered. The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

  • Postdoc Position: Mathematical modeling of viral evolution and dynamics, UCSF, San Francisco
    • SMB Digest Vol 16, Issue 26 - June 29, 2016

      Prof. Andino at the Department of Molecular Biology and Immunology, University of California, San Francisco, anticipates one or several postdoctoral openings to model dynamics and evolution of viruses at multiple levels of biological organization. The successful candidate will participate in a large interdisciplinary project to develop a new type of antiviral therapy against a broad range of human viruses. The team comprises leading virologists, modelers, and data analysts from IBM, Boston University, University of Haifa, and other organizations. The candidate should possess excellent numeric and solid analytic skills and have experience with reading biological literature and modeling biological systems. We seek individuals who are intellectually independent but open and flexible and can thrive within an interdisciplinary environment. The results used to guide collaborating groups in the design of antiviral agents, as well as published in leading biological journals. The anticipated positions, pending funding approval, will start October 1, 2016, and remain open until filled. Interested individuals are requested to send their CV, publication list, and names and electronic addresses of two references to Dr. Rouzine (igor.rouzine@ucsf.edu)

  • Postdoc: Computational Cognitive Modelling, Vanderbilt University, USA
    • SMB Digest Vol 16, Issue 25 - June 22, 2016

      This position is for a postdoctoral fellow as part of an NSF-funded project entitled "The Impact of Dynamically Changing Information on Decision Processes". Applicants will join a collaboration at Vanderbilt University between Dr. William Holmes (Physics) and Dr. Jennifer Trueblood (Psychology) with the aim of using computational models to understand how people make decisions in dynamic environments.

      Candidates should hold a Ph.D. in a quantitative field such as physics, mathematics, computer science, engineering, neuroscience, psychology, or related disciplines. A background in psychology is not required. The following skills are strongly desired:

      1. Background in computational modelling in an interdisciplinary setting.

      2. Solid programming skills, including in MATLAB.

      3. Some experience with parallel computing either in the MATLAB environment or in C, Fortran, CUDA, or OpenCL.

      4. Experience with model fitting (particularly using Bayesian methods) is a plus.

      5. Demonstrated scientific expertise, with publications in refereed journals.

      For further information, see (https://my.vanderbilt.edu/holmesw/people/). Please submit a cover letter including a brief statement of career goals, curriculum vitae, one example publication / manuscript, and contact information of three references. To apply or to request further information, contact Dr. William Holmes at william.holmes@vanderbilt.edu. Review of applications will begin immediately and will continue until the position is filled.

  • Postdoc: Modeling viral dynamics and evolution, UPMC, France
    • SMB Digest Vol 16, Issue 24 - June 15, 2016

      Dr. Igor Rouzine at LQCB, Institut de Biologie Paris-Seine, Université Pierre et Marie Curie, Paris, seeks to fill two postdoctoral positions to model dynamics and evolution of viruses on multiple scales of biological organization. The Laboratory of Quantitative and Computational Biology offers a unique environment of four experimental and five theoretical teams working on different biological topics.

      The topics of this project, conducted in collaboration with data analysts and experimental teams at UPMC and elsewhere, include applied virus evolution (virulence, evasion of immune response), general mathematical methods and numeric tools, and HIV pathogenesis. Clinically, the project is connected to the development of new types of therapy and personalized medicine. The candidate should possess solid numeric and analytic skills and have some experience in modeling biological systems. A successful candidate will be intellectually independent but flexible and able to thrive in an interdisciplinary environment. Ph.D. degree in physical sciences is preferred but not required. Results will be published in leading journals and used to guide experiments of collaborating teams. The positions will start in the Fall of 2016, October 1, and will remain open until filled. Interested individuals are requested to send their CV, publication list, and names and electronic addresses of two references to igor.rouzine@ucsf.edu.

Faculty and other positions

(Click on job title for additional information.)
  • Tenure-tracks: Biomath, Applied Stats, U Puerto Rico at Cayey
    • SMB Digest Vol 16, Issue 38 - September 20, 2016

      CALL FOR TWO TENURE-TRACK FACULTY POSITIONS DEPARTMENT OF MATHEMATICS/PHYSICS University of Puerto Rico at Cayey 2016-2017

      The Department of Mathematics at The University of Puerto Rico at Cayey (UPR- C) invites applications for two tenure-track positions at the Assistant Professor level in the area of applied mathematics, beginning on January 2017. UPR- C is an undergraduate institution that values interdisciplinary education, research and community service as part of the teaching and learning process (see http://cayey.upr.edu/)

      APPOINTMENT IN BIOMATHEMATICS
      Requirements:
      Ph.D in mathematics, with experience in applied mathematics, preferably in biomathematics. Preference will be given to candidates who can contribute to our research and curricular offerings in Biomathematics. Candidates are expected to have experience with teaching university level courses, seeking external funding for their research and mentoring undergraduate students in research.

      Applicants should send the following documents:
      -Curriculum Vitae
      -Official transcripts
      -A cover letter that states research interests and experience as well as teaching philosophy.
      -Copy of one recent publication in author's specific research field.
      -Three letters of recommendation.

      JOINT APPOINTMENT IN APPLIED STATISTICS Candidates selected for this tenure-track joint appointment position between the Department of Mathematics/Physics and the Institute of Interdisciplinary Research will devote 50% of time to each unit. Candidates will have a maximum teaching load of 2 undergraduate courses per semester.

      Requirements: -Ph.D. in applied mathematics with specialization in statistics, bio-statistics or bio-informatics. Candidates with a Ph.D. related to health, such as epidemiology, demography and health economics will also be considered; however, they should have a solid background in mathematics equivalent to the course content of a master degree in this field.
      -Track record of collaboration with colleagues from diverse disciplines, specifically on projects related to the areas of health and biomedicine.
      -Experience with diverse research methods, instrument design, sampling and applied statistics.
      -Experience developing research proposals.
      -Recent peer-reviewed publications.
      -Proven leadership and communication skills and the ability to effectively collaborate on multi and interdisciplinary projects.
      -Experience teaching college-level courses.


      Priority will be given to candidates will the following qualifications: experience with teaching mathematics courses at the college level, post-doctoral training, knowledge of Bayesian statistics, mentoring of undergraduates in research, publishing in blogs or other social media, and collaborations with other researchers in applied or community-based research.

      Applicants should send the following documents:
      -Curriculum Vitae
      -Official transcripts
      -Any applicable professional certifications
      -A cover letter that states research interests and experience as well as teaching philosophy.
      -A 1000 (max) word essay that describes:
      1. interdisciplinary collaborations
      2. ability to develop programmatic research proposals
      3. experience or ability to teach college-level mathematics courses
      -Copy of one recent publication in author’s specific research field.
      -Three letters of recommendation.


      Starting salary for both positions is $62,256, plus benefits.

      The application deadline for submitting all documents is November 10, 2016.

      Send documents via regular mail or e-mail to: Dean of Academic Affairs University of Puerto Rico at Cayey PO Box 372230 Cayey, Puerto Rico 00737-2230 decanato-academico.cayey@upr.edu

      For additional information, call: Department of Mathematics-Physics: 787-738-2161, exts. 2029, 2195 Institute of Interdisciplinary Research: 787-738-2161, exts. 2615, 2616

      Notes: The University of Puerto Rico at Cayey is under no obligation to fill advertised positions. The University of Puerto Rico at Cayey provides equal employment opportunity. It does not discriminate on the basis of race, color, sex, sexual orientation, religion, age, political affiliation, ethnic or national origin, or disability in its admission policy, programs, activities and employment practices.

      As a general rule, the University will hire faculty who can communicate correctly in Spanish. Under specific and justified circumstances, the University will hire personnel who is not fluent in the vernacular, but with the commitment that they will be able to communicate fluently in Spanish after four years of working in the Institution and as a prerequisite for tenure (Certification #64 2003-04 of the Academic Senate of the University of Puerto Rico at Cayey)

  • Tenure-track: Mathematical Biology, Queen's U, Canada
    • SMB Digest Vol 16, Issue 38 - September 20, 2016

      The Department of Mathematics and Statistics, Faculty of Arts and Science at Queen's University, Kingston, Canada, invites applications for a Tenure-track faculty position in Applied Mathematics and Mathematics and Engineering at the rank of Assistant Professor with a starting date of July 1, 2017. Mathematical Biology is one of the targeted areas of the search.

      Research in Mathematical Biology in our department is currently centred around evolutionary biology, ecology, and infectious disease epidemiology, with particular emphasis on the use of deterministic and stochastic dynamical systems, game theory, and optimization. For more information about the Mathematical Biology program, please see http://www.mast.queensu.ca/graduate/bio.php. The successful candidate in Mathematical Biology will be expected to work in any of these or complementary areas of research, and to contribute to both the graduate and undergraduate programs.

      For the full position announcement and information on how to apply, please, visit: http://www.mast.queensu.ca/positions/.

  • Tenure-track: Bioinformatics & Microbiome, Virginia Tech, US
    • SMB Digest Vol 16, Issue 38 - September 20, 2016

      The Department of Biological Sciences (www.biol.vt.edu) and the Division of Systems Biology of the Academy of Integrated Science (www.science.vt.edu/ais) are recruiting for a tenure-track assistant professor faculty position in Bioinformatics and Microbiome Systems Biology. The department is interested in hiring an individual who uses bioinformatic and molecular methods to characterize the structures of microbiomes, the response of microbial communities to perturbations, and/or the roles of specific species in host-microbiome interactions. Focus on human- or animal-associated microbiomes is of great interest, as is the potential to collaborate with existing faculty to apply quantitative analysis methods to large data sets for plant, soil, aquatic, or industrial/agricultural microbial communities. The successful candidate will be expected to teach courses in bioinformatics and computational biology for the new Systems Biology major. Core laboratory facilities are available for next-generation sequencing, proteomics, metabolomics, microscopy, and high-performance computing. Competitive salary and start-up packages will be provided. Applicants should submit a cover letter, curriculum vitae, and a statement of research and teaching interests emphasizing career goals, and arrange for three letters of reference using our on-line system (https://listings.jobs.vt.edu/postings/69053, search posting TR0160086). Inquiries concerning the position or application process should be directed to the chair of the search committee, Dr. Roderick V. Jensen (rvjensen@vt.edu). Virginia Tech is an NSF Advance Institution and has a strong commitment to the principle of diversity and, in that spirit, seeks a broad spectrum of candidates, including women, minorities, veterans, and people with disabilities. Review of applications will begin November 1, 2016 and continue until the position is filled.

  • Research Positions: Modeling of Salmon Metabolism, NMBU, Norway
    • SMB Digest Vol 16, Issue 38 - September 20, 2016

      Two researcher positions - systems biology modelling of salmon metabolism - ref. no. 16/04447

      Two researcher positions (2-3 years with possibility of extension) in systems biology of Atlantic salmon metabolism are available at the Department of Animal and Aquacultural Sciences, NMBU, Norway. The successful candidate will work within the Centre for Integrative Genetics (CIGENE), which includes comprehensive molecular lab facilities and a strong environment dedicated to genomics, bioinformatics, and mathematical modeling.

      The researchers will work on two interlinked systems biology projects, DigiSal and GenoSysFat, promoting sustainable growth of salmon farming by building model-based knowledge about salmon metabolism. The projects are highly interdisciplinary and combine expertise in physiology and nutrition, cutting-edge high-throughput omics technologies and model-based analysis of omics data. We will encourage visits to international collaborators such as the Systems and Synthetic Biology unit in Wageningen, the Netherlands.

      Main tasks: Analyze how salmon metabolism depends on variation in diet and genotype, based on omics and microscopy data and using a variety of modelling frameworks, both top-down multivariate analysis and bottom-up metabolic network modelling. There will also be opportunities to link modelling work to ongoing evolutionary genomics projects to address questions regarding consequences of genome duplication on the function of metabolic systems.

      Qualifications Required
      -PhD in systems biology, computational biology, bioinformatics, physics or mathematics

      Preferred
      -Experience with analyzing and visualizing multivariate data
      -Experience with constraint-based modelling
      -Experience with integrating -omics data and biological knowledge
      -Proficiency in R, Python or similar for simulations and data analysis


      Full advertisement:
      https://www.jobbnorge.no/en/available-jobs/job/129214/two-researcher-positions-systems-biology-modelling-of-salmon-metabolism-refno-16-04447

      Application deadline: Wednesday, October 5, 2016

  • Tenure-track: Math Biology, Worcester Polytechnic Institute, US
    • SMB Digest Vol 16, Issue 37 - September 13, 2016

      Position: Tenure Track Assistant Professor in the Department of Mathematical Sciences at Worcester Polytechnic Institute to begin in Fall 2017. The Department webpage can be found at https://www.wpi.edu/academics/departments/mathematical-sciences. The broad focus is in those areas of applied mathematics that develop and study models describing biological processes. In particular, we seek candidates that are working to develop multiscale models that connect several components to understand biological mechanisms. Application areas of particular interest include but are not limited to cell motility (related to cancer progression or tissue engineering), neuromodulation or transduction, biomechanics, and biofluids dynamics. We seek candidates who show mathematical strength as well as great promise to contribute to WPI's growing interdisciplinary programs (e.g., Bioinformatics and Computational Biology). The successful applicant is expected to lead a high quality research program and contribute to the teaching mission of the department both at the undergraduate and graduate levels.

      Qualifications: Applicants must have a Ph.D. in Mathematics, or in a related area. A degree or background in the biological sciences is a plus. Teaching and postdoctoral research experience is preferred.

      Salary, benefits and start-up funding are competitive and commensurate with research experience and accomplishments. Qualified applicants should submit a detailed curriculum vitae, a statement of specific teaching and research objectives, and four letters of recommendation at least one of which addresses teaching experience or potential, via math jobs.

      Review of applications will begin on October 1, 2016 and will continue until the position is filled. We encourage interested candidates to send in their applications even if they cannot meet the October 1, 2016 proposed target. Founded in 1865, WPI is one of the nation's first technological universities. A highly selective private university located within an hour of Boston, WPI is consistently ranked among the top 70 research institutions by US News & World Report. The university is home to an innovative and intensive project-based curriculum that empowers students with the knowledge and skills to address real world problems around the globe. The Mathematical Sciences Department currently has 28 tenured/tenure-track faculty members, 10 postdoctoral scholars, and features an active Ph.D. program in Mathematical Sciences. The department offers bachelor's degrees in Mathematical Sciences and in Actuarial Mathematics, and master's degrees in Applied Statistics, Applied Mathematics, Financial Mathematics, and Industrial Mathematics (see http://www.wpi.edu/+math). The department has a strong reputation for its cutting-edge interdisciplinary research and for its successful programs addressing mathematical and statistical problems in industry. Located in the heart of New England, WPI is surrounded by cultural and recreational opportunities. The UMass Medical Center, a large number of technology companies and many colleges and universities are located in the immediate area making it ideal for two career families.

  • Tenure-track: Biomathematics, San Diego State U, US
    • SMB Digest Vol 16, Issue 37 - September 13, 2016

      Assistant Professor of Biomathematics at San Diego State University The Department of Mathematics and Statistics at SDSU has an open position in Biomathematics at the assistant professor level. Exceptional candidates may be considered for higher rank. The successful candidate will develop original research in mathematical biology, which complements SDSU areas of excellence in quantitative biology. The area of specialty is open and may include complex biological systems, theoretical and computational biophysics, computational biology, population dynamics, epidemiology, or mathematical physiology to name a few. He/She will have a strong record of research accomplishments, employ state-of-the-art approaches in biomathematics, have experience collaborating with researchers in other disciplines, show a strong ability writing grants, have a solid plan for extramural funding. He/She is also expected to demonstrate an ability to teach a wide variety of courses at the undergraduate and graduate level in mathematics and applied mathematics.

      New techniques in biophysics and molecular biology are transforming biology and biomedicine into stronger quantitative disciplines. The complexity of biological systems, however, requires new mathematical and computational approaches to accurate analyze, predict, and understand the rapid growth of biological data. In recent years, SDSU has pursued an ambitious expansion in several research areas of excellence that rely on quantitative biology. To sustain and reinforce the lead in these disciplines, SDSU aims to incorporate new talented faculty with a strategic vision in modern applications of Biomathematics.

      Successful candidates are expected to develop an active relationship with members in the Department of Mathematics and Statistics as well as the Computational Science Research Center. He/She should also establish collaborations across campus, which may include SDSU centers of excellence like the Viral Information Institute (http://viralization.org/), Center for Clinical and Cognitive Neuroscience (https://slhs.sdsu.edu/ccn/), Center for Sensorimotor Neural Engineering (http://www.csne-erc.org/), or Center for Human Dynamics in the Mobile Age (http://humandynamics.sdsu.edu/). The candidate is expected to mentor students in interdisciplinary Master and PhD programs such as Mathematics, Biology, Bioengineering, Computational Science, and Statistics.

      SDSU is a large, diverse, urban university and Hispanic-Serving Institution with a commitment to diversity, equity, and inclusive excellence. Our campus community is diverse in many ways, including race, religion, color, sex, age, disability, marital status, sexual orientation, gender identity and expression, national origin, pregnancy, medical condition, and covered veteran status. We strive to build and sustain a welcoming environment for all. SDSU is seeking applicants with demonstrated experience in and/or commitment to teaching and working effectively with individuals from diverse backgrounds and members of underrepresented groups.

      This position may also be eligible for the SDSU Building on Inclusive Excellence (BIE) hiring program that creates additional faculty lines for candidates who meet two or more of the criteria listed in https://apply.interfolio.com/36537. To be considered for one of these additional BIE hires, candidates should identify in their letter of application how they meet two or more of the criteria.

      The person holding this position is considered a "mandated reporter" under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment.

      SDSU is a Title IX, equal opportunity employer and does not discriminate against persons on the basis of race, religion, national origin, sexual orientation, gender, gender identity and expression, marital status, age, disability, pregnancy, medical condition, or covered veteran status.

      Applicants should apply via Interfolio at https://apply.interfolio.com/36537. Review of applications will begin November 7, 2016 and will continue until the position is filled. Incomplete applications are not guaranteed full consideration. Please direct any questions to the Search Committee Chair, Vadim Ponomarenko, at vponomarenko@mail.sdsu.edu. The appointment will start in Fall 2017.

  • Tenure-Track Positions: Cluster Hiring, U Utah, US
    • SMB Digest Vol 16, Issue 35 - August 30, 2016

      Biophysics/Neuroscience/Chemical Biology Cluster, University of Utah. The proposed cluster comprises multiple tenure-track faculty positions to establish excellence in emerging interdisciplinary fields; departmental appointments may be in Physics, Biology, Chemistry, Mathematics or Biochemistry. A major goal is to strengthen both Cellular and Molecular Neuroscience and Biophysics, as well as to link Neuroscience to the Chemical Biology of Natural Products. All candidates are expected to demonstrate the ability to develop a vigorous, competitive and well-funded research program and will be evaluated on how their research potentially contributes to the long-term goal of excellence in interdisciplinary bridge areas. Applications by investigators, both experimental and theoretical, interested in macromolecular complexes on membranes are particularly encouraged. An undergraduate track in Neuroscience and Biophysics will be established within the College of Science, and faculty hired through this cluster are expected to participate in the development and teaching of innovative courses related to this initiative. We expect to make two or more faculty appointments in the 2016-2017 academic year, with additional appointments in subsequent years. While the openings are at the Assistant Professor level, exceptional senior candidates will be considered.

      Assistant Professor applicants should upload an application letter with vita, a description of proposed research, and arrange for three letters of recommendation to be sent on their behalf. Senior applicants should upload an application letter and CV. Applications should be uploaded in PDF format to http://utah.peopleadmin.com/postings/55718. Initial interview selections will begin on October 15, 2016, but applications submitted at a later date will be considered as needed.

      The University of Utah values candidates who have experience working with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented groups. The University of Utah is an equal opportunity/affirmative action employer and educator. Minorities, women, veterans and those with disabilities are strongly encouraged to apply. Veterans' Preference is extended to qualified veterans. Reasonable disability accommodations will be provided with adequate notice. For additional information about the University's commitment to equal opportunity and access, see http://www.utah.edu/nondiscrimination/.

  • Research Fellow: Uncertainty Quan. for Healthcare, U Exeter, UK
    • SMB Digest Vol 16, Issue 33 - August 16, 2016

      Research Fellow in Uncertainty Quantification for Healthcare

      We are seeking a Research Fellow to join the recently funded EPSRC Centre for Predictive Modelling in Healthcare, a £2M award which brings together outstanding scientists from our Systems Biomedicine, Dynamics Systems and Statistical Sciences research groups. With an additional £3M in research funding, the interface between mathematics, computer science and healthcare is one of the most rapidly expanding areas within the University, and the successful candidate will join a research team currently consisting of 14 PDRAs and 10 PhD students, where they will be collocated with researchers from the Wellcome Trust ISSF funded Centre for Biomedical Modelling and Analysis, housed in our state of the art Research Innovation Learning and Development (RILD) building.

      The successful candidate will work on a project entitled "Data-Model Fusion and Uncertainty Quantification". They will be mentored by the Centre Director Professor John Terry and will work on a day-to-day basis with Professor Peter Challenor and Dr Marc Goodfellow. The role is available from 01 November 2016, or a mutually agreeable date very soon thereafter, for a period of 36 months. Individuals who successfully secure fellowship funding during their appointment will be considered for an open ended academic appointment. The primary focus of the project will be on techniques to develop Bayesian emulators for uncertainty quantification, including efficient experimental design and techniques to estimate model structure and parameters from observations. These methods will be developed, in collaboration with the candidate, within the Centre with a view to novel healthcare applications, for example in cardiac arrhythmias, neurological disorders or endocrine malfunction. The successful candidate will have a strong background in all or most of: Gaussian processes, uncertainty quantification, machine learning, methods for model parameter inference from observations and constructing mathematical models of biological or clinical data, and have a demonstrable interest in interdisciplinary collaboration. Applicants should hold, or be about to obtain, a PhD in mathematics, physics or a related discipline.

      For full details visit: http://www.jobs.ac.uk/job/AOF433/research-fellow-in-uncertainty-quantification-for-healthcare

      The closing date for applications is 26 August 2016. It is anticipated that interviews will take place in the week commencing 19 September 2016.

  • Research Director, EPSRC
    • SMB Digest Vol 16, Issue 32 - August 9, 2016

      The EPSRC project Synthetic Portabolomics is a looking for a Senior Research Associate to act as Research Director, supporting the PI in the delivery of the project objectives including (but not limited to) coordinate and carry out its management activities including all reporting activities, e.g. to EPSRC, stakeholders, REF related, UKRC related (e.g. research fish), etc.

      The Research Director will also be lead in the execution and further development of Pathways to Impact plan and carry out translational research activities. In addition, the post holder will work closely with Prof. Krasnogor in (a) the exploration, dissemination and exploitation of IP generated by the project and, more generally, the Interdisciplinary Computing and Complex Systems (ICOS) research group and (b) the conception, design and implementation of funding opportunities for ICOS from UKRC, Innovate UK, H2020, etc.

      This post is fixed term for two years.

      For informal enquiries please contact Professor Natalio Krasnogor (Natalio.Krasnogor@newcastle.ac.uk).

      For further information and to apply: http://www.jobs.ac.uk/job/AUH576/d41005r2-senior-research-associate-research-director-synthetic-portabolomics/

      The ICOS group http://ico2s.org

  • Metabolic Network Modeling Research Scientist, HJF
    • SMB Digest Vol 16, Issue 32 - August 9, 2016

      Metabolic Network Modeling Research Scientist (211875)

      The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. (HJF) is seeking a Metabolic Network Modeling Research Scientist to provide support to the U.S. Army Medical Research and Materiel Command's Biotechnology High Performance Computing Software Applications Institute (BHSAI) [www.BHSAI.org]. HJF provides scientific, technical, and programmatic support services to the BHSAI. Working in an interdisciplinary environment with focus on the development and application of computational solutions to biomedical problems, including toxicology, drug resistance, and infectious disease.

      Responsibilities:

      Use computational modeling to integrate transcriptomic and metabolomics data with metabolic networks to understand malaria host/pathogen responses to different physiological stressors, including drug treatment.

      1. Perform both basic and applied research in close collaboration with experimental laboratories.
      2. Simultaneously work on multiple projects, involving a diverse and interdisciplinary team of scientists across multiple laboratories.
      3. Collaborates with other scientists and computational staff on research projects and development of new approaches to existing research problems.
      4. Prepares research proposals, progress reports, and manuscripts for submission to scientific journals.
      5. Presents research methods and findings at appropriate scientific conferences.
      6. Completes other projects as needed.


      Required Knowledge, Skills, and Abilities: Experience in high-performance computing, biostatistics or population genomics, mathematical modeling and biological network analysis is a plus. Expertise in at least one of C, C++, Java, Python or Pen is a must. PLEASE ONLY APPLY IF YOU HAVE PROVEN COMPUTATIONAL BIOLOGY EXPERIENCE. The candidate is expected to simultaneously work on multiple projects, involving a diverse and interdisciplinary team of scientists across multiple laboratories

      Minimum Education/Training Requirements: Ph.D. in a related discipline, post-graduate experience, and a strong publication record.

      Minimum Experience: 4 - 6 years

      HJF is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

      TO APPLY Please copy and paste the following URL into your web browser: http://careers.hjf.org/psp/eapp/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_CE.GBL?Page=HRS_CE_JOB_DTL&Action=A&JobOpeningId=211875&SiteId=1&PostingSeq=1

  • Principal Scientist, Sanofi
    • SMB Digest Vol 16, Issue 32 - August 9, 2016

      Posting: Open systems pharmacology modeling/mathematical biology - Principal scientist position at Sanofi. Please contact karim.azer@sanofi.com or, to see a description and apply online, search for Position 75034404-0001 at http://www.sanofi.us/l/us/en/layout.jsp?scat=18DAEAAB-BD35-492F-8777-EE9BFE683320.

  • NIH: Selected Intramural Research and Other Job Openings
    • SMB Digest Vol 16, Issue 31 - August 2, 2016

      Tenure-Track/Tenure-Eligible Investigator Laboratory of Malaria Immunology and Vaccinology, NIAID (Review of Applications Begins: August 8)

      The Laboratory of Malaria Immunology and Vaccinology (LMIV), Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), invites applications for a tenure-track (preferred) or tenure-eligible investigator in malaria immunology or vaccinology.

      We seek a highly creative individual who will establish an independent, world-class malaria research program that takes full advantage of the special opportunities afforded by the stable, long-term funding offered to the intramural NIH community. Applicants should have a Ph.D., M.D., or equivalent degree and an outstanding record of postdoctoral or junior faculty accomplishment. Applicants should be interested in developing and applying novel approaches to the study of malaria immunology or malaria vaccines, which could include a significant clinical or translational effort in addition to bench research. As examples, the candidate might pursue structure-function-immunogenicity of malaria proteins and immunogens, innate immunity and adjuvants, humoral immunity, or immunobiology of durable vaccine-induced protective immune responses.

      The successful candidate will have access to the NIH Clinical Center, a premier research hospital on the main NIH campus where LMIV conducts vaccine trials and experimental malaria infections in human volunteers. She or he will have ample opportunity to participate in the activities of the International Centers of Excellence in Research at malaria-endemic sites in Africa. Other trans-NIH initiatives involving technology development, translational investigation, access to nonhuman primate facilities, and multidisciplinary science offer additional research infrastructure for intramural scientists.

      The incumbent will be assigned independent resources to include laboratory support personnel, equipment, space, and an allocated annual budget for services, supplies, and salaries sufficient to foster success. In addition to an outstanding international postdoctoral community, a superior pool of graduate and undergraduate students is available to the successful applicant. Additional information is available on the LMIV website, http://www.niaid.nih.gov/LabsAndResources/labs/aboutlabs/lmiv/Pages/default.aspx. Salary is commensurate with experience and accomplishments. A full civil service package of benefits (including retirement; health, life, and long-term care insurance; Thrift Savings Plan) is available. Women and minorities are encouraged to apply. U.S. citizenship is not required.

      To apply, email your curriculum vitae, bibliography, a list of at least five references, and a detailed statement of how your expertise can contribute to the success of the malaria research program (no more than two pages) in PDF format to Ms. Laurie Lewallen at NIAIDDIRSearch@niaid.nih.gov. Initial review of applications will be on August 8, 2016, but applications will be accepted until the position is filled. For further information about this position, contact Dr. Patrick Duffy, Chief, LMIV, at 301-761-5089 or patrick.duffy@nih.gov. Visit Careers at NIAID, http://www.niaid.nih.gov/about/careers/Pages/default.aspx?utm_source=DDIR&utm_medium=website&utm_campaign=NC_DIR-LMIV_TT-T_6-6-16, for more information about NIAID and additional career opportunities. HHS, NIH, and NIAID are equal opportunity employers. NIH is dedicated to building a diverse community in its training and employment programs.

      Stadtman Tenure-Track Investigators NIH-wide (deadline: September 30)

      The National Institutes of Health, the U.S. government's premier biomedical and behavioral research enterprise and a component of the Department of Health and Human Services, is pleased to announce its eighth annual call for "NIH Earl Stadtman Investigators," a broad recruitment of tenure-track investigators (assistant professor equivalent) for the NIH intramural research program.

      Come join the team whose hallmarks are stable funding, intellectual freedom, shared resources, and access to a wide range of scientific expertise. A fantastic array of scientists already has been hired through the "Stadtman" recruitment in the last seven years.

      A variety of basic and translational/clinical positions are available, with areas of active recruitment including (but not limited to): Behavioral Sciences, Biochemistry, Biomedical Engineering, Biophysics, Biostatistics, Cancer Biology, Cell Biology, Cell Metabolism, Chemical Biology, Chromosome Biology, Computational Biology/Bioinformatics (including natural language processing and text mining), Developmental Biology, Epidemiology, Genetics, Genomics, Health Disparities, Hearing & Balance, Immunology, Infectious Diseases, Microbiology, Molecular Pharmacology, Neurodevelopment, Neurosciences, Physiology, Sensory Biology, Social Sciences, Structural Biology, Systems Biology, Toxicology, Translational and Clinical Research, and Virology.

      Who we are: Among our approximately 1,100 principal investigators and 4,000 trainees in the NIH intramural research program are world-renowned experts in basic, translational, population-based, and clinical research. Similar to academia, we offer our scientists the opportunity to mentor outstanding trainees at all levels (e.g., graduate students and postdoctoral fellows) in a research setting.

      Whom we seek: We seek a diverse cadre of creative thinkers eager to take on innovative, high-impact research.

      Qualifications/eligibility: Applicants must have an M.D., Ph.D., D.D.S./D.M.D., D.V.M., D.O., R.N./Ph.D., or equivalent doctoral degree and have an outstanding record of research accomplishments as evidenced by high quality publications in peer-reviewed journals. Applicants should be non-tenured scientists. Appointees may be U.S. citizens, resident aliens, or non-resident aliens with, or eligible to obtain, a valid employment-authorization visa.

      How to apply: Applicants must submit four items (the first three items must be in a PDF format): (1) a CV, which should include a list of publications, and mentoring and leadership activities; (2) a three-page proposal titled Research Goals, i.e., the research you hope to perform at the NIH; (3) a one-page statement titled Long-term Research Vision and Impact, i.e., what you hope to achieve for yourself, your field, and society; and (4) contact information for three professional references. Submit these through our online application system at http://tenuretrack.nih.gov/apply between August 1 and September 30, 2016 (11:59 p.m. EDT). You will be asked to designate up to two scientific areas of expertise to aid in assigning your application to the appropriate review committee. Requests for letters of recommendation will be sent to your references when you submit your application. Reference letters will be accepted via upload to the website until October 7, 2016 (11:59 p.m. EDT). Reference letters must also be submitted in a PDF format. We cannot accept paper applications.

      What to expect: Search committees, composed of experts in various fields, will review and evaluate applicants based on criteria which include publication record, mentoring experience, scientific vision, potential scientific impact of current and proposed research, awards, and references. Select applicants will be invited to the NIH for interviews and will be considered candidates. These candidates will also present seminars open to the public. Some applicants not selected as Earl Stadtman Investigator candidates may be considered for other open NIH research positions. Please find answers to frequently asked questions at http://tenuretrack.nih.gov/apply/faq/stadtman.html.

      More information about our program is at http://irp.nih.gov. The inspiring story of Earl and Thressa Stadtman's research at the NIH is at http://history.nih.gov/exhibits/stadtman. Specific questions regarding this recruitment effort may be directed to Dr. Roland Owens, Assistant Director, NIH Office of Intramural Research, atowensrol@mail.nih.gov. DHHS and NIH are equal opportunity employers.

      The NIH is dedicated to building an inclusive and diverse community in its training and employment programs.

      Staff Scientist, Biostatistician Biostatistics and Computational Biology Branch, NIEHS (Review of Applications Begins: September 30)

      The National Institute of Environmental Health Sciences (NIEHS), part of the National Institutes of Health (NIH), is seeking an experienced biostatistician at the rank of Staff Scientist in the Biostatistics and Computational Biology Branch (BCBB, http://www.niehs.nih.gov/research/atniehs/labs/bb/index.cfm) of the Division of Intramural Research (DIR, http://www.niehs.nih.gov/research/atniehs/dir/index.cfm). The incumbent will collaborate extensively with researchers in the DIR and the Division of the National Toxicology Program (DNTP http://www.niehs.nih.gov/research/atniehs/dntp/index.cfm). As the principal statistician for the National Toxicology Program (NTP http://ntp.niehs.nih.gov/), he/she will provide statistical leadership and ensure the statistical integrity of its research program. In addition, the position involves management and oversight of statistical support service contracts. Development of new statistical methods is encouraged, but will not be a major component of the job.

      The scientific environment at NIEHS provides exciting opportunities for a collaborating statistician. The DIR conducts a broad range of basic, clinical and population-based biomedical research to advance the science on environment and human health. The NTP serves a vital national interest by improving our knowledge about potential hazardous chemicals in our environment. It uses a broad range of toxicological approaches including large-scale rodent studies and cell-based assays to evaluate a variety of adverse outcomes. Increasingly, research in both the DIR and the NTP incorporates high-dimensional data such as high-throughput screening, gene-expression, microbiome, DNA methylation, and genome sequencing.

      The Research Triangle Park (RTP, http://www.rtp.org/) is a lively and world-renowned research center. Major nearby universities and institutes include the University of North Carolina, North Carolina State University, Duke University, the Research Triangle Institute, and the Statistical and Applied Mathematical Sciences Institute. The RTP region, known for its diversity and cultural amenities, is widely regarded as an outstanding place to live and work.

      The successful candidate will have both strong communication skills (written and oral) and proven experience working productively with multidisciplinary teams of biologists, toxicologists, epidemiologists, and/or clinical scientists. Applicants should have a Ph.D. in statistics, biostatistics or a closely related field. Applications from women and underrepresented minorities are strongly encouraged. Appointees may be U.S. citizens, resident aliens, or non-resident aliens with, or eligible to obtain, a valid employment-authorization visa. For additional information, contact Dr. Shyamal Peddada, Acting Chief, Biostatistics and Computational Biology Branch, at 919-541-1122 (peddada@niehs.nih.gov).

      Interested persons should email a combined single PDF of their curriculum vitae and a two-page statement of research and collaboration experience. Applicants must also arrange to have three letters of reference in PDF format sent directly to dir-appls@niehs.nih.gov. As there are other recruitments currently running, please instruct your referees to include your name and BCBB-SS in the subject line of their email. Paper applications will not be accepted. Review of applications will begin on September 30, 2016, but applications will be accepted until the vacancy is filled. DHHS and NIH are equal opportunity employers.

      Tenure-Track/Tenure Eligible Position Occupational and Environmental Epidemiology Branch, NCI-DCEG (deadline: September 30)

      A tenure-track/tenure eligible position is available in the Occupational and Environmental Epidemiology Branch (OEEB - Chief, Dr. Debra Silverman), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS) for a scientific investigator with expertise and experience in exposure assessment of environmental contaminants for cancer epidemiology studies. Candidates should have a strong background and at least 5 years of experience in exposure assessment, including using Geographic Information System (GIS)-based models and environmental monitoring data to estimate historical exposures to air and water pollutants. Candidates should have knowledge of and demonstrated capacity to develop and apply state-of-the-art exposure assessment and statistical methods in case-control and cohort studies.

      The candidate should have a doctorate in environmental health, epidemiology, or a comparable doctoral degree, experience in carrying out environmental exposure assessments and environmental epidemiology studies, and a fundamental commitment to the study of environmental exposures. A demonstrated ability to carry out effective collaborations with investigators from different disciplines is critical. Also essential is the ability to communicate effectively in speech and in writing, as demonstrated in presentations and publications. Salary is commensurate with experience. The successful candidate will be expected to develop an independent research program focused on the assessment of environmental exposures, and identifying and clarifying how these exposures may cause cancer. Interested individuals should send a cover letter, curriculum vitae, brief summary of research interests and experience, up to five publications, and three letters of reference to: Ms. Linda Littlejohn. Division of Cancer Epidemiology and Genetics; National Cancer Institute; 9609 Medical Center Drive, Suite 7E328, MSC 9775; Bethesda, MD 20892-9775; or e-mail NCIDCEGOMR@mail.nih.gov. The closing date for applications is September 30, 2016. DHHS, NIH, and NCI are equal opportunity employers.

  • Tenure-Tracks: Oregon State University
    • SMB Digest Vol 16, Issue 31 - August 2, 2016

      TWO FACULTY POSITIONS IN SYSTEMS BIOLOGY, GENOMICS, AND INFORMATICS AT OREGON STATE UNIVERSITY

      Mathematics. Systems Biology. Physiological modeling. Drug discovery. Ecoinformatics.

      Oregon State University is searching for two faculty with enthusiasm for collaborative research and teaching at the interface between the life sciences - biological, biomedical, pharmaceutical, or environmental - and the quantitative or physical sciences. Appointees will be expected to develop independent and collaborative grant-funded research programs, at any level of scale from the molecular to the ecological. The research, teaching, and extension programs of the appointees are expected to integrate student success, diversity, and inclusion as core values. This search is part of a large cohort of new faculty hires at OSU focused on interdisciplinary computational research, and on advancement of diversity, inclusion and student success.

      COMPLEX SYSTEMS IN THE LIFE AND ENVIRONMENTAL SCIENCES

      An assistant professor (9 month, tenure track) position is available in any domain where the life or environmental sciences intersect with the quantitative or physical sciences. Complex systems in the life and environmental sciences span numerous levels of scale from metabolites, macromolecules, cells, tissues, and organisms, to populations, communities and ecosystems. Increasingly, understanding these systems requires interdisciplinary collaborative research at the intersection with quantitative or physical sciences. The appointment will reside jointly in two units, one a life or environmental sciences unit, and the other ideally in a physical or quantitative sciences unit, depending on the appointee's expertise and interest. To review the full position announcement, qualifications and detailed application go to www.oregonstate.edu/jobs/ and select posting number P00447UF. Contact: Brett Tyler (brett.tyler@oregonstate.edu).

      For full consideration, please apply by September 9, 2016.

      COMPUTATIONAL AND SYSTEMS BIOLOGY/PHARMACOLOGY

      The College of Pharmacy, Department of Pharmaceutical Sciences, is seeking applications for an assistant professor position (12 month, tenure track) with expertise in using computational or bioinformatics tools to discover new drug targets or mechanisms of action, or uncover disease or physiological mechanisms. A Ph.D. or terminal degree in a biomedical or pharmaceutical science, computer science or statistics, biochemistry or a related discipline with relevant postdoctoral experience is required. Responsibilities include establishing and maintaining an extramurally funded research program; collaborating on initiatives and needs for expertise in computational and systems level approaches; and teaching and mentoring graduate, professional and undergraduate students. To review the full position announcement, qualifications and detailed application go to www.oregonstate.edu/jobs/ and select posting # P00444UF. Contact: Chrissa Kioussi (Chrissa.Kioussi@oregonstate.edu ). For full consideration, please apply by September 23, 2016.

      OSU is an AA/EOE and has a policy of being responsive to dual-career needs.

  • Tenure-Tracks: Italian Institute of Technology
    • SMB Digest Vol 16, Issue 31 - August 2, 2016

      The Italian Institute of Technology (IIT) is pleased to announce openings for FOUR tenure-track positions in:

      Synthetic & Systems Biology
      Tissue Engineering
      Multidisciplinary Biosystems
      Robot Locomotion


      These open calls are part of an ambitious plan to recruit more than 100 new tenure-track scientists over the next decade. The new tenure-track scientists will be intellectually and financially independent (i.e., true principal investigators) and will enjoy world-class facilities and start-up and operational funding, as well as internationally competitive salaries and benefits.

      For details of the job searches, please visit https://tenure.iit.it/about

      Deadline for applications in 15 October 2016.

  • Faculty Positions: Mathematics & Statistics, Texas Tech U
    • SMB Digest Vol 16, Issue 30 - July 26, 2016

      Faculty Positions, Mathematics & Statistics, Texas Tech University, Fall 2017

      The Department of Mathematics and Statistics at Texas Tech University invites applications for six tenure-track positions beginning Fall 2017. While preference will be given to junior faculty candidates for the rank of assistant professor, candidates with very strong records of research productivity who will bring externally sponsored research to Texas Tech will be considered for associate or full professor ranks. The department seeks candidates who will be engaged in nationally visible scholarship, establish externally-funded research programs, interact with the existing research groups, participate in interdisciplinary collaborations and service, involve graduate students in their research, and show excellence in teaching at the graduate and undergraduate levels. A Ph.D. degree in mathematics, applied mathematics, statistics, or a related area, at the time of appointment, is required. A demonstrated record of peer reviewed publication is expected. Senior applicants are expected to provide a strong record of scholarly research, teaching effectiveness, and professional service.

      Candidates should apply at http://www.texastech.edu/careers/ using the appropriate requisition number, as follows: 1). Mathematical sciences - requisition #7946BR; 2). Computational mathematics - requisition #7947BR; 3). Biomathematics - requisition #7948BR; 4). Statistics - requisition #7949BR.

      The research fields of traditional interest in the department corresponding to these four areas include, respectively: i). algebraic and differential geometry and topology, complex analysis, number theory; ii). computational applications of partial differential equations, optimization, numerical linear algebra, numerical analysis, and scientific computing/software; iii). population dynamics, infectious diseases, ecotoxicology, immunology, oncology, biomechanics, neuroscience; iv). biostatistics, statistical genetics, stochastic processes, functional data analysis, Bayesian statistics, nonparametric statistics, and image analysis.

      Applicants are expected to submit a letter of application along with a completed AMS standard cover sheet, current CV, research and teaching statements. In addition to the mandated online application, applicants must have three reference letters e-mailed to misty.rangel@ttu.edu. Review of applications will begin in Fall 2016. Applications will be accepted until the position is filled, with those received prior to January 15, 2017, assured full consideration.

      As an Equal Employment Opportunity/Affirmative Action employer, Texas Tech University is dedicated to the goal of building a culturally diverse faculty committed to teaching and working in a multicultural environment. We actively encourage applications from all those who can contribute, through their research, teaching, and service, to the diversity and excellence of the academic community at Texas Tech University. The university welcomes applications from minorities, women, veterans, persons with disabilities, and dual-career couples.

  • Research Fellow in Mathematical Modelling (London School of Hygiene and Tropical Medicine)
    • SMB Digest Vol 16, Issue 30 - July 26, 2016

      We are seeking an enthusiastic Research Fellow to join the Health Protection Research Unit (HPRU) in Immunisation. The successful candidate will work with the mathematical modelling and economic evaluation team to understand the impact of immunisation on vaccine-preventable disease. He/she will design and apply mathematical models to address policy decisions around vaccination in England.

      The successful applicant will have a PhD in mathematical modelling or equivalent research experience, a proven ability to use a coding language to solve modelling problems (e.g. R, Matlab, C++, Python etc.), the ability to publish in leading journals as evidenced by existing or potential publications and evidence of ability to work independently and meet tight deadline.

      It is desirable that the post-holder has prior experience in Bayesian model fitting techniques, experience in mathematical modelling of infectious diseases, experience in modelling using ordinary differential equations. Prior experience in health economic evaluation and knowledge of vaccine-preventable diseases is also desirable.

      The appointment is full time and is available immediately until 31 March 2017 initially, with the possibility of extension. The appointment will be made on the Academic Pathway Grade 6 scale £37,477-£42,560 per annum inclusive.

      Applications should be made on-line via our website at http://jobs.lshtm.ac.uk (Ref: EPH-IDE-24)

      Applications should also include a CV and the names and email contacts of 2 referees who can be contacted immediately if shortlisted. Interested applicants are invited to contact Dr Katherine Atkins (Katherine.Atkins@lshtm.ac.uk) for further information. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk.

  • Research Assistant: Mapping Cortex Evolution, University of Oxford
    • SMB Digest Vol 16, Issue 30 - July 26, 2016

      Applications are invited for a 24-month fixed-term post of Research Assistant in St John's College Research Centre at St John's College, University of Oxford. The post involves working on a research project entitled 'Mapping cortex evolution through mathematical modelling' funded by the St John?s College Research Centre and led by Professor Zoltán Molnár, Professor Philip Maini, and Dr Thomas Woolley. The appointee will take up the post on November 1st or as soon as possible thereafter. The post is full-time and is for 24 months. The appointment will be on the University's Grade 7 for Academic and Academic-related staff, currently starting at £30,738 per annum.

      Our project proposes to develop and understand a mathematical model for the differentiation of neurons from earlier pluripotent progenitor cell populations. This framework will allow us to map all possible evolutionary pathways of the cortex enabling us to quantitatively and qualitatively highlight multiple possible divergent evolutionary trajectories. Further, by comparing these theories with data we will construct a novel categorisation of different species, and understand the high diversity of cortex development, thus generating an impact in the field of neurobiology. Finally, through applying our framework to pathological cases, we will predict mechanistic links between neuron production failure and resulting phenotypes such as microcephaly, polymicrogyria syndromes and lissencephaly syndromes.

      If there are any questions, please send them to woolley@maths.ox.ac.uk

  • Lecturer/Senior Lecturer: Statistical Genomics, U Melbourne
    • SMB Digest Vol 16, Issue 29 - July 19, 2016

      The Neuroscience Program at Bates College, a private liberal arts college in Maine, invites applications for a tenure track assistant professorship in theoretical neuroscience to begin August 1, 2017. A Ph.D. is required, with post-doctoral experience preferred. We welcome applications from any sub-discipline in which neural phenomena are studied using quantitative and/or computational formalisms. We are especially interested in candidates whose work has potential clinical/medical applications but does not require use of a vertebrate animal colony. Candidates are expected to teach Introduction to Neuroscience as well as additional courses that could include quantitative methodologies in neuroscience, neural modeling, bio/neuroinformatics, neural prosthetics, or computing in the health sciences. Bates values innovative, inclusive pedagogy and active scholarship and seeks applicants who can successfully integrate undergraduates in their research. The College and the Neuroscience Program are committed to enhancing the diversity of our campus community and curriculum, and the most competitive applicants will have a record of engaging people from backgrounds underrepresented in STEM fields.

      Employment is contingent upon successful completion of a background check. Bates is an Equal Opportunity/Affirmative Action employer. Because the College recognizes that employment decisions often involve two careers, Bates welcomes applications from those interested in sharing a single faculty position. For more information about the College and the Program, please visit the Bates website: www.bates.edu.

      APPLICATION INSTRUCTIONS
      Consideration of candidates will begin September 15, 2016 and continue until the position is filled. Your application should include your cover letter, CV, unofficial graduate transcript, three letters of recommendation, research statement, teaching statement, and diversity statement. For this last item, please describe how your teaching, scholarship, mentorship, and/or service would support the college's historical and ongoing commitment to diversity and inclusion. Finalists will be invited to send additional materials suchas reprints, sample syllabi, and teaching evaluations. Please direct any questions to Nancy Koven, Ph.D., at nkoven@bates.edu. Applicants should submit all requested materials through Interfolio (referencing job announcement R2154): https://apply.interfolio.com/35910

  • Tenure-Track: Theoretical Neurosciences, Bates College, US
    • SMB Digest Vol 16, Issue 29 - July 19, 2016

      LECTURER/ SENIOR LECTURER IN STATISTICAL GENOMICS
      School of Mathematics and Statistics, Faculty of Science, The University of Melbourne

      Salary: AUD95,434 - AUD113,323 p.a. (Level B) or AUD116,901 - AUD134,792 p.a. (Level C), plus 17% superannuation. Level of appointment is subject to the appointee's research record, qualifications and experience.

      The School of Mathematics and Statistics is seeking to expand its expertise in Statistical Genomics. In particular, the successful applicant will contribute to the School's research related to Statistical Genomics, which is under the broad leadership of Professor David Balding.

      Close date: 17 Aug 2016
      For position information and to apply online go to http://jobs.unimelb.edu.au/caw/en/job/888557/lecturer-senior-lecturer-in-statistical-genomics

  • Tenured/Tenure-track: Math Biology, Virginia Commonwealth U
    • SMB Digest Vol 16, Issue 28 - July 12, 2016

      Position: One senior faculty position (9-month) as Professor or Associate Professor of Mathematics in the Department of Mathematics and Applied Mathematics beginning August 16, 2017. The Department and University Web pages may be found at http://www.math.vcu.edu and http://www.vcu.edu. The Ph.D. program Web page may be found at http://www.sysm.vcu.edu.

      Responsibilities of Position: Maintain a vigorous research program and a record of excellent teaching at both the undergraduate and graduate levels. Assume a leadership role in the Ph.D. program in Systems Modeling and Analysis.

      Qualifications: A Ph.D. in Mathematics or Applied Mathematics, or related field, is required at the time of the appointment. The applicant should be internationally recognized in areas related to Mathematical Biology, and must already be tenured at their current institution. Preference will be given to candidates with a proven track record of external funding and Ph.D. student advisement. Applicants must have a record of successful teaching, as well as experience with working in and fostering a diverse faculty, staff, and student environment, or the commitment to do so.

      The Department: The mission of the Department of Mathematics and Applied Mathematics is to offer a strong undergraduate and graduate education, with an increasing focus on the development of cross-disciplinary efforts that will prepare our students for real-world applications and stimulating employment and career opportunities. Key current objectives of the department include the continued development of our Ph.D. program, which emphasizes applications of mathematics to the medical and biological sciences and research in both applied and theoretical discrete mathematics, the improvement of student outcomes in our lower level courses, and the continued strengthening of our department's track in secondary education preparation. We are looking for ambitious faculty members to help grow and strengthen the department by expanding teaching, research, and grant activity. We are excited about the opportunities to grow in these areas and are particularly interested in mathematicians with similar interests.

      How to Apply for the Position: To apply, candidates must submit electronically through https://www.vcujobs.com/postings/52605 the following: a cover letter that clearly delineates how they meet the qualifications outlined above, a current curriculum vitae, and contact information for four references. In addition, candidates must submit electronically through https://www.mathjobs.org the following: a cover letter, an AMS Standard Cover Sheet, a current curriculum vitae, and detailed teaching and research statements. Applicants must also have four letters of recommendation, of which one must address the applicant's effectiveness as a teacher, submitted electronically through https://www.mathjobs.org.

      Applicants must be eligible to work in the U.S.A. Applications will be considered until the position is filled; however, applications received by September 15, 2016, will be given priority.

      "Virginia Commonwealth University is an equal opportunity, Affirmative Action University providing access to education and employment without regard to age, race, color, national origin, gender, religion, sexual orientation, veteran's status, political affiliation or disability."

  • Lecturer/Senior Lecturer: Systems Genomics, U Melbourne
    • SMB Digest Vol 16, Issue 28 - July 12, 2016

      LECTURER/SENIOR LECTURER IN SYSTEMS GENOMICS
      School of BioSciences, Faculty of Science, The University of Melbourne

      Salary: AUD95,434 - AUD113,323 p.a. (Level B) or AUD116,901 - AUD134,792 p.a. (Level C), plus 17% superannuation. Level of appointment is subject to qualifications and experience.

      The School of BioSciences is seeking to recruit an excellent researcher, with a commitment to teaching and other academic duties, in the area of systems genomics, defined broadly to include a range of computation/statistics-based research on any aspects of the processes leading from genotype to phenotype. The new post is associated with the appointment of Professor D Balding, who is Professor of Statistical Genetics jointly in the Schools of BioSciences and of Mathematics & Statistics, and Director of the University's Centre for Systems Genomics. The successful applicant will be expected to join the Centre, which has an interdisciplinary focus on the application of maths/stats/computing techniques to genomic profiling data to help understand genotype-to-phenotype processes in humans and other organisms, including microbes and the host-microbe interaction, as well as the roles of other factors in the cellular, tissue and external environments.

      The successful applicant will be expected to undertake research and student supervision in cutting-edge methods using large-scale datasets to help understand the functions of genomes, especially at a systems level. The successful applicant will have the opportunity to contribute to and benefit from the development of the Centre, have use of research data generated by collaborators, and have access to the Centre's computing resources and integrative profiling lab. Further wet-lab resources are available if required. The appointee will be expected to develop and deliver genomics and/or computational biology subjects for life sciences students, and possibly (depending on experience and qualifications) also to students in other disciplines.

      Close date: 10 Aug 2016

      For position information and to apply online go to http://about.unimelb.edu.au/careers, click on the relevant option (Current Staff or Prospective Staff), and search under the job title or job number 0039325.

  • Tenure-Track/Tenure-Eligible Investigator Laboratory of Malaria Immunology and Vaccinology, NIAID (deadline: August 8)
    • SMB Digest Vol 16, Issue 27 - July 5, 2016

      The Laboratory of Malaria Immunology and Vaccinology (LMIV), Division of Intramural Research (DIR), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), invites applications for a tenure-track (preferred) or tenure-eligible investigator in malaria immunology or vaccinology.

      We seek a highly creative individual who will establish an independent, world-class malaria research program that takes full advantage of the special opportunities afforded by the stable, long-term funding offered to the intramural NIH community. Applicants should have a Ph.D., M.D., or equivalent degree and an outstanding record of postdoctoral or junior faculty accomplishment. Applicants should be interested in developing and applying novel approaches to the study of malaria immunology or malaria vaccines, which could include a significant clinical or translational effort in addition to bench research. As examples, the candidate might pursue structure-function-immunogenicity of malaria proteins and immunogens, innate immunity and adjuvants, humoral immunity, or immunobiology of durable vaccine-induced protective immune responses.

      The successful candidate will have access to the NIH Clinical Center, a premier research hospital on the main NIH campus where LMIV conducts vaccine trials and experimental malaria infections in human volunteers. She or he will have ample opportunity to participate in the activities of the International Centers of Excellence in Research at malaria-endemic sites in Africa. Other trans-NIH initiatives involving technology development, translational investigation, access to nonhuman primate facilities, and multidisciplinary science offer additional research infrastructure for intramural scientists.

      The incumbent will be assigned independent resources to include laboratory support personnel, equipment, space, and an allocated annual budget for services, supplies, and salaries sufficient to foster success. In addition to an outstanding international postdoctoral community, a superior pool of graduate and undergraduate students is available to the successful applicant. Additional information is available on the LMIV website http://www.niaid.nih.gov/LabsAndResources/labs/aboutlabs/lmiv/Pages/default.aspx. Salary is commensurate with experience and accomplishments. A full civil service package of benefits (including retirement; health, life, and long-term care insurance; Thrift Savings Plan) is available. Women and minorities are encouraged to apply. U.S. citizenship is not required.

      To apply, email your curriculum vitae, bibliography, a list of at least five references, and a detailed statement of how your expertise can contribute to the success of the malaria research program (no more than two pages) in PDF format to Ms. Laurie Lewallen at NIAIDDIRSearch@niaid.nih.gov. Initial review of applications will be on August 8, 2016, but applications will be accepted until the position is filled. For further information about this position, contact Dr. Patrick Duffy, Chief, LMIV, at 301-761-5089 or patrick.duffy@nih.gov. Visit Careers at NIAID http://www.niaid.nih.gov/about/careers/Pages/default.aspx?utm_source=DDIR&utm_medium=website&utm_campaign=NC_DIR-LMIV_TT-T_6-6-16 for more information about NIAID and additional career opportunities. HHS, NIH, and NIAID are equal opportunity employers. NIH is dedicated to building a diverse community in its training and employment programs.

  • Associate Director..., Dana Farber Cancer Institute, USA
    • SMB Digest Vol 16, Issue 24 - June 15, 2016

      Position Title: Associate Director for Scientific Operations, Center for Cancer Evolution - Sr Scientist
      Company Name: Dana Farber Cancer Institute
      Location: Boston, Massachusetts, United States, 02101

      For details and to apply, see

      http://www.click2apply.net/6mcwmkb4nh

  • Selected NIH Intramural Research and other job openings - June 2016
    • SMB Digest Vol 16, Issue 23 - June 8, 2016

      Staff Scientist
      Section on Development and Affective Neuroscience, NIMH
      (Review of applications begins: July 1)

      The Section on Development and Affective Neuroscience (SDAN) in the Intramural Research Program (IRP), National Institute on Mental Health (NIMH), seeks a Staff Scientist.

      Research in SDAN is designed to achieve an integrated understanding of brain system perturbations that occur in pediatric emotional disorders, particularly anxiety disorders. SDAN then attempts to use this understanding to identify children at particularly high risk, to improve current treatments, and to develop new ones. Current projects in SDAN examine the predictive utility of functional magnetic imaging (fMRI) profiles for diverse clinical outcomes, applied in research on children and adolescents at temperamental risk for anxiety or receiving treatment for anxiety.

      The NIMH IRP brings together a highly interactive and dynamic group of collaboratively focused scientists. These individuals are at the forefront of research on mental disorders. SDAN is housed on the main NIH campus in Bethesda, Maryland.

      The SDAN Staff Scientist serves as a laboratory leader who contributes to mentoring of postdoctoral fellows and other laboratory staff and trainees. The position requires specific expertise in the analysis of fMRI data, as reflected in training and publication record. The successful candidate should have a doctoral degree, postdoctoral research experience, and an outstanding publication record. Requisite expertise includes basic analysis of fMRI data using the general linear model as well as expertise in more advanced approaches to fMRI data. The main job of the Staff Scientist will be to be the leader of data analytic approaches in SDAN and to apply advanced analytic approaches in particular, with a focus on computational neuroscience, multivoxal pattern analysis (MVPA), and machine learning. Salary is commensurate with experience.

      Applicants should submit their curriculum vitae with bibliography, statement of interest, and names and contact information for three references to Daniel Pine at daniel.pine@nih.gov. Applications will be reviewed starting July 1, 2016, and accepted until the position is filled. HHS, NIH, and NIMH are equal opportunity employers.

      The NIH Intramural Research Program
      http://irp.nih.gov/
      http://irp.nih.gov/careers/tenured-and-tenure-track-scientific-careers

      Link to Fellowships and Positions of Interest to fellows
      https://www.training.nih.gov/
      https://www.training.nih.gov/career_services/jobs

      Link to NIH Jobs
      http://www.jobs.nih.gov/

  • Quantitative Systems Pharmacologist, Merck, USA
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      The Quantitative Pharmacology and Pharmacometrics (QP2) group at Merck is now hiring at 3 levels: Senior Scientist, Associate Principal Scientist, and Principal Scientist. Qualified candidates will be hired at the level commensurate with their experience. We sponsor work visas for qualified candidates. Please see below for job description and forward to potential candidates. Thank you for your consideration.

      Location: West Point, PA; Upper Gwynedd, PA; Kenilworth, NJ; Rahway, NJ; Boston, MA.

      Fo further details and to apply online, please visit http://www.merck.com/careers/

      * Senior Scientist, R3 (QUA004740)
      * Associate Principal Scientist, R4 (QUA004739)
      * Principal Scientist, R5 (QUA004336)

  • Quantitative Systems Pharmacologist / Modeler, Pfizer, USA
    • SMB Digest Vol 16, Issue 20 - May 18, 2016 Job Title: Quantitative Systems Pharmacologist / Modeler Job ID 1031636

      About Pfizer:
      A career at Pfizer offers opportunity, ownership and impact. All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.

      Role Description:
      The Quantitative Systems Pharmacology (QSP) Lab in Pfizer?s Cardiovascular and Metabolic Diseases (CVMet) Research Unit is responsible for identifying and evaluating promising therapeutic targets and drug candidates through the application of systems modeling and simulation approaches. We seek a highly motivated candidate with experience in cardiomyocyte/cardiac function to lead the development of mechanistic, mathematical models to enable the in silico testing of novel targets and compounds for the treatment of heart failure (HF). The successful applicant will be responsible for providing QSP support to CVMet programs from target ideation through Phase 2 clinical development.

      Responsibilities:
      * Develop and execute strategy for the application of QSP approaches to identify and evaluate novel pathways, targets and drug candidates for the treatment of HF
      * Work in close collaboration with CVMet biologists and clinicians to advance our HF programs and improve our understanding of disease mechanisms
      * Serve as QSP modeling & simulation expert in multidisciplinary project teams to solve challenging problems in drug discovery and development; contribute to preclinical and clinical study design
      * Develop and/or utilize state-of-the-art mathematical and statistical tools to gain insight into causal relationships between individual components within metabolic pathways and systems
      * Analyze and interpret complex data sets in the context of disease mechanisms and pathways; develop a deep disease knowledgebase

      Qualifications:
      * Ph.D. in Applied Mathematics, Engineering, Physics or a related discipline with strong numerical components focusing on modeling and simulation in the area of cardiomyocyte/cardiac function and 5+ years of experience in applying quantitative systems pharmacology approaches in drug discovery and development.
      * Deep understanding of theory, principles, and statistical aspects of mathematical modeling and simulation, including numerical methods, parameter estimation/optimization, ordinary differential equations (ODEs), and how these can be applied in the development of complex models of biological pathways and systems
      * Extensive, hands-on experience with modeling and simulation software (e.g., MATLAB, SimBiology, C/C++)
      * Self-directed, independent researcher who excels in a collaborative, multi-disciplinary environment
      * Excellent communication and writing skills
      * Primary authorship on relevant publications in peer-reviewed scientific journals

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