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:


(Click on job title for additional information.)
  • 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

      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 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:

      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)

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

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

      Interested applicants should contact Dr Fabio Luciani:

  • 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:

      Interested candidates will need to send a cover letter and your CV to Joost Lumens, PhD ( 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:

  • 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 (, Frederic Lemaigre ( and Christophe Pierreux (

      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

  • 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.

      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:

      Further information:
      Navinder Singh,, +46(0)706760103
      Göran Ericsson, +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 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).



      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 ( 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:


      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.

      [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)

  • PhD Positions: Mathematical Biology / Medicine, QUT, Australia
    • SMB Digest Vol 16, Issue 18 - May 4, 2016

      Scholarships are available for several PhD students to join my research group. Projects that cover mathematical biology and mathematical medicine are available, and scholarships are suitable for both domestic and international students.

      A more complete description of the projects and application procedure can be found at and more details about my research group are available at

  • PhD: T cell-mediated immune regulation, Imperial, UK
    • SMB Digest Vol 16, Issue 16 - April 20, 2016

      We have an opening for 4-year PhD studentship for a UK/EU student (3-year residency rule applies).

      To reveal the mechanism of T cell-mediated immune regulation using molecular and systems approaches
      Supervisors: Masahiro Ono (Life Sciences) and Reiko Tanaka (Bioengineering), Imperial College London

      This project will investigate dynamic mechanisms of T cell-mediated immune regulation using molecular and systems approaches. We are especially interested in how the T cell regulation mechanism develops or evolves during development and ageing. T cells are conventionally classified into regulatory (suppressive) T cells and memory T cells. It is, however, obscure how these cells develop and exhibit their functions in vivo, and such dynamic activities can be measured only by appropriately combining new molecular tools and mathematical modelling.

      During this 4-year BBSRC funded project, we aim to reveal positive and negative feedback mechanisms of the T cell system, using a combination of our newly developed transgenic technology that measures the time-dependent dynamics of T cells in vivo and computational/mathematical modelling and simulation.


      Closing date: 29 April 2016
      Initial applications should include a full CV, names and addresses and contact details of two academic referees, a personal statement (500 words max) and a covering letter.
      Contact: Masahiro Ono (; Reiko Tanaka (

  • PhD: Modelling visuomotor coordination..., Exeter, UK
    • SMB Digest Vol 16, Issue 16 - April 20, 2016

      I have an open PhD Positions in my group at the University of Exeter. I am looking for PhD students with quantitative background (mathematics, physics, computer science or engineering) who are interested in applying their skills in solving biomedical and/or healthcare problems.

      Carlota Palmer Studentships:

      2. Modelling visuomotor coordination in People with Parkinson's Disease

      For further details and how to apply see:

      Please feel free to contact me if you have any questions regarding these positions.

      Krasimira Tsaneva-Atanasova

      ALTEREGO - Enhancing Social Interaction with an AlterEgo artificial agent

  • PhD: Math Modeling in Animal/Vet. Science, U. of Newcastle, UK
    • SMB Digest Vol 16, Issue 13 - March 30, 2016

      PhD studentship: Mathematical modeling in Animal/Veterinary Science, University of Newcastle, UK

      School of Agriculture, Food and Rural Development, University of Newcastle
      Funding per year: £16,557 (with Industrial Enhancement) + tuition fees
      Start and duration: 1 October 2016 for 4 years
      Closing date for applications: 14 May 2016
      Sponsors: BBSRC, KTN, AB Vista

      This project will use a range of mathematical and statistical modeling techniques to predict the digestion and metabolism of two macro-minerals essential in livestock feeding: Calcium and Phosphorus. The ultimate goal is to incorporate the model into a user-targeted tool. The project has both theoretical and applied training components and focuses on learning quantitative skills as well as the relevant context of nutrition and metabolism, offering a practical perspective of modeling and opportunities for gaining research experience linked to the agri-food industry.

      For further details see: or contact Professor Ilias Kyriazakis at

Postdoctoral positions

(Click on job title for additional information.)
  • 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,, 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,, 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.

      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 ( or contact Jonathan Karr (

      How to apply Please email a cover letter outlining your research interests and a CV to Jonathan Karr (

  • 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

  • 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

  • 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: Further information can be found at 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 (

  • 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 ( 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 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

  • Postdocs: Modeling to develop new types of antiviral therapy, UCSF, USA
    • SMB Digest Vol 16, Issue 24 - June 15, 2016

      Prof. Andino at the Department of Molecular Biology and Immunology, University of California, San Francisco, anticipates a strong possibility of one or several postdoctoral openings starting in October 1 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 new types of antiviral therapy with the participation of leading virologists, modelers, and data analysts from IBM, Boston University, University of Haifa, Université Pierre et Marie Curie, and other organizations. The candidate should possess excellent numeric skills and have previous experience in modeling biological systems. We seek individuals who are intellectually independent but open and flexible and can communicate with an interdisciplinary team. Ph.D. in physical sciences is preferred but not required. The results will be published in leading journals and used to guide experiments of collaborating groups. The anticipated positions, subject to funding approval, will start in the Fall of 2016, October 1, 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,

  • Postdoc: Disease Ecology, University of Minnesota, USA
    • SMB Digest Vol 16, Issue 22 - June 1, 2016

      Department of Ecology, Evolution, and Behavior; University of Minnesota

      Our research group seeks to hire 2-3 motivated and conceptually driven post-doctoral associates to work collaboratively using empirical and/or theoretical approaches to test community ecology and behavioral ecology theory in pathogen communities. This work will focus on, but not necessarily be limited to
      (i) investigating the role of vector behavior on pathogen dynamics,
      (ii) testing the relevance of resource competition and metacommunity theory to pathogen communities, and
      (iii) investigating the interactions between disease and movement broadly.

      The successful applicant will work within a collaborative research team of faculty, postdoctoral researchers, and graduate students that includes expertise in using mathematical, statistical, and empirical approaches in behavioral, community, and disease ecology. We are particularly interested in applicants with strong skills in mathematics, statistical and analytical techniques, or molecular techniques relevant to the detection of phytoviruses using qPCR or metagenomics techniques. Demonstration of excellent writing skills are is an essential qualification for these positions. The appointment is initially for one year, but may be renewed annually. Starting date is negotiable and may begin as soon as possible.

      Questions about this position should be addressed to Drs. Allison Shaw (, Elizabeth Borer (, or Eric Seabloom (

      Review of applications will begin 15 June 2016 and positions will remain open until filled.

      Apply for this position (Job Opening ID: 310245) via the University of Minnesota Office of Human Resources website:

  • Postdoc: Mathematical Epidemiology, University of Utah, USA
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      This position provides research support for mathematical and computer modeling projects in support of public health decision making for healthcare epidemiology, within the University of Utah Health Sciences Center. The postdoctoral fellow will work on one or more funded projects aimed at modeling interventions to reduce the incidence of healthcare associated infections in a regional network of hospitals and nursing homes. Within this scope, the postdoctoral fellow will have the opportunity to focus on theoretical and applied modeling topics of interest, including network epidemiology, antibiotic resistance and stewardship, strain competition, vaccine immunology, modes of transmission, and optimal intervention strategy.

      Essential Functions:
      1. Provides support for scientific literature search and synthesis of reviewed literature
      2. Assists in planning and executing models and computer simulations according to project needs
      3. Prepares and communicates research results in written and oral summary
      4. Works collaboratively with supervisor and other project team members in supporting project needs

      Minimum Qualifications:
      This position requires expertise in mathematical modeling and computer programming with a minimum of a PhD degree, computer programming skills, an ability to manage deadlines, good writing and communication skills, and an ability to effectively work within a multi-disciplinary collaborative environment.

      Interested candidates should apply online at

  • Postdoc: Biomechanics, University of Manchester, UK
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      Applications are invited for a 2.5-year position focused on the biological physics and mechanics of the human placenta. The post is supported by a recently-awarded MRC Grant "Blood flow (dys)regulation and transfer function in the human placenta: an integrated in silico and ex vivo approach to fetal growth restriction".

      You will join a rapidly expanding effort in biomechanics within the School of Mathematics, working directly with Dr I. L. Chernyavsky and Professor O. E. Jensen, in close collaboration with physiologists and clinicians from the Institute of Human Development and the University of Southampton. This position forms a part of a wider recruitment that will involve employment of a Research Associate in experimental placental physiology to support the mathematical modelling effort.

      The theoretical part of the project lies at the interface between applied mathematics, continuum mechanics, multi-scale physics, spatial statistics and image analysis. The main aim of this project is in development of integrated analytical and computational techniques, informed by experimental data, for the study of flow and transport processes in the human placenta, a unique and critically important interface between the maternal and fetal circulations.

      You will hold (or be about to complete) a PhD in Applied Mathematics, Physics, Bioengineering, or a closely related field. You will have a solid track record of publications relevant to the project area, and a strong aptitude for interdisciplinary research. For further information and details of how to apply, please visit our web site or contact Dr Chernyavsky (

      The closing date for applications is 16 June 2016

  • Postdoc: Bacterial growth..., INRIA Grenoble - Rhâne-Alpes, France
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      The IBIS group at INRIA Grenoble ­ Rhône­Alpes, in collaboration with the Laboratoire Interdisciplinaire de Physique of the Université Grenoble Alpes, is looking for a post­doctoral researcher to work on the mechanistic basis of growth rate control in bacteria. In particular, in the framework of the RESET project (, we are studying the relation between RNA polymerase expression and growth rate variability, under a variety of conditions, using single­cell time­series reporter gene data, image analysis, and mathematical modeling (Izard, Gomez Balderas et al., Mol. Syst. Biol., 11:840, 2015).

      Applicants are expected to have a background in biophysics, mathematical biology, or bioinformatics, with a strong interest in the application of quantitative methods to the study of biological systems. We offer a one­-year contract in an interdisciplinary and international environment in our research centre located in the French Alps (

      For more information on the position and for applications, please contact Hidde de Jong ( Applications should be accompanied by a CV and a motivation letter.

  • Postdoc: Plant modelling, INRA Avignon, France
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      The INRA GAFL and PSH units are seeking a highly-qualified post-doctoral researcher to work on a project on genotype-phenotype kinetic modelling, in France. The successful candidate should hold a PhD with a background in modelling, and also have experience in parameter estimation, optimization and sensitivity analysis. The appointment is for 2 years, with a start date by the end 2016 or early 2017.

      The objective of this project is to integrate the genetic control of sugar metabolism in an existing kinetic model (Desnoues et al, in preparation) and to use it for ideotype design. At term, an improved optimisation strategy together with the mechanistic nature of the model have the potential to facilitate the discovery of new genes of interest for the modification of sugar metabolism.

      The position depends on the success of the project proposed to AgreenSkills/ AgreenSkills+.

      For details and application, candidates can contact Dr. QUILOT-TURION Bénédicte at

  • Postdoctoral Fellow: Quantitative Systems Pharmacology, Pfizer, USA
      SMB Digest Vol 16, Issue 21 - May 25, 2016

      Job Title: Postdoctoral Fellow - Cardiovascular and Metabolic Diseases
      Research Unit, Quantitative Systems Pharmacology, 1026494
      Location: United States-Massachusetts-Cambridge

      The Quantitative Systems Pharmacology (QSP) Lab in Pfizer's Cardiovascular and Metabolic Diseases (CVMET) Research Unit is responsible for developing insights to help advance CVMET clinical candidates and identifying and evaluating promising new therapeutic targets through physiologically-based modeling and simulation, and analysis and interpretation of preclinical and clinical data. We seek a highly motivated postdoctoral candidate to develop and analyze mechanistic, mathematical models of cardiomyocyte biophysics to enable the in silico testing of mechanistic hypotheses and improve the identification and evaluation of therapeutic targets for the treatment of heart failure (HF).

      The successful candidate will apply quantitative systems modeling and simulation methods to develop a validated mathematical model that couples cellular electrophysiology and ion transients to cellular metabolism, mitochondrial function, and contractile force generation in human cardiomyocytes. In addition to enabling in silico identification and assessment of HF drug targets, the successful candidate will pursue new avenues for scientific development in areas of QSP modeling, cellular biophysics, data analysis, and uncertainty quantification. The mechanistic insights gained from detailed analyses of the in silico model will generate physiological hypotheses that may be tested experimentally and/or in the clinic. The expectation is that the resulting findings will lead to improved confidence in rationale for the pursuit of novel agents for the treatment of heart failure.

      To be considered for this position, please apply at by searching Job ID 1026494.

  • Postdoc: HIV Modeling, University of British Columbia, Canada
    • SMB Digest Vol 16, Issue 20 - May 18, 2016 We are seeking a postdoctoral fellow to work on detailed modelling of HIV spread among gay, bisexual and other men who have sex with men (MSM) in Canada. The primary objective for our modelling research is to examine the real and potential impact of an innovative internet-based testing program for MSM, establishing a foundation which can then be extended by the postdoc in this position to a range of other testing and prevention interventions for this population. This postdoc position offers an excellent opportunity to gain experience in the translation of model results into real world public health policies and practice.

      The successful candidate will join a public health modelling team headed by Dr. Mark Gilbert (BC Centre for Disease Control, University of British Columbia (UBC), Ontario HIV Treatment Network) and Dr. Daniel Coombs (Department of Mathematics, UBC), working with provincial, national and international collaborators. The position will be based in Vancouver, working alongside the research team as well as public health staff, community agencies, and policy-makers involved with the implementation of these interventions.

      The ideal candidate will have the following skills:
      (A) excellent interpersonal skills, being able to communicate effectively with a wide range of stakeholders, including public health professionals, health care economists, and staff working in community-based organizations in the area of HIV prevention for MSM;
      (B) be a creative modeller, and able to compute from very simple ODEs to fairly complex simulation/network models;
      (C) be able to work independently to assimilate data from epidemiologic and sociological studies into the model framework (as well as primary analysis of data from cohorts of HIV negative and positive men in Vancouver and a large online survey of MSM across Canada);
      (D) be familiar with epidemic (or similar) modelling, analysis and computation, including stochastic models.

      Prior experience working on public health modelling projects is an asset. This is primarily a research position but there may be opportunities to gain teaching experience, depending on the candidate. Competitive salary and benefits. This is a two-year position.

      For additional information or enquiries please contact Mark Gilbert ( or Daniel Coombs ( Applications (with CV, research statement and names of two references) should be sent to Kim Thomson by June 1, 2016. Email:

  • Postdoc: Disturbance Ecology, Penn State, USA
    • SMB Digest Vol 16, Issue 18 - May 4, 2016

      A UK-US NSF-NERC joint-funded postdoctoral position is available to study the interplay between diversity, disturbance and invasion, using experimental microcosms to illuminate ecological theory.

      Invasion by alien species represents a major threat to the maintenance of the world's biodiversity. Biological invasions also have significant economic and environmental impacts on agriculture, epidemiology and conservation. Unfortunately, our current understanding of the processes involved, and hence our ability to manage disturbed systems, is hampered by the large number of interacting factors that can affect invasion. This project will examine how biological diversity and environmental perturbations interact to affect invasion, using a mix of experiments and theoretical research. The project will focus on experimental populations of microbes, combined with a related modeling agenda, to study: 1) the effect of independent, and combined, manipulation of disturbance and diversity on invasion success; and 2) the role of pre-adaptation to disturbance regimes in mediating invasion resistance. The postdoc will additionally assess the hypothesized importance of pre-adaptation to disturbance regimes by assessing invasion success following changes to previously established regimes. The project will involve successive iterations between these large bacterial community experiments and system-specific and general theory.

      Research will be based in the laboratory of Dr. Katriona Shea ( in the Department of Biology at The Pennsylvania State University, USA, with experimental work conducted in the laboratory of Dr. Angus Buckling ( at the University of Exeter Cornwall campus, UK. Please contact Katriona Shea (; +1 814-321-4809) for more information.

      We seek a postdoctoral researcher who has expertise in ecological/ evolutionary modeling with a clear interest in applications to community ecology and a strong desire to integrate theory with empirical research. A Ph.D. in Quantitative Ecology, Population Biology, Applied Mathematics or an equivalent area is required. Expertise in theory for microbial systems dynamics, using stochastic analytical and/or simulation population models, and empirical expertise in such systems, is highly desirable. Candidates should demonstrate a track record of publication; have strong organizational, written, and oral communication skills; and be able to work both independently and as part of a collaborative team.

      Interested applicants should apply online at with an application, a CV, a 1-2 page statement of research interests that explicitly describes professional qualifications for this position, and contact information for three referees. This is a fixed term position funded for one year from date of hire with possibility of refunding. Review of applications will immediately and continue until a suitable candidate is found.

  • Postdoc: Biological Modelling, Grenoble, France
    • SMB Digest Vol 16, Issue 18 - May 4, 2016

      A post-doctoral position for one year is available and starts in October 2016 (deadline for applications is before the end of August 2016) in the DyCTiM team of the TIMC-IMAG laboratory, UGA - CNRS (UMR5525) in Grenoble, France.

      The postdoctoral fellow will be involved in an interdisciplinary research that associates computer scientists and applied mathematicians of TIMC-IMAG, and biologists of IAB and TIMC-IMAG.

      *Project*. The project concerns the mechanisms of cytoskeleton reorganizations and crosstalks that drive blood platelet activation. Its precise regulation ensures hemostasis and prevents thrombosis. The flat shaped disc formed by quiescent platelets is maintained by the marginal band (MB), a peripheral ring of microtubules. We have shown recently that the initial shape change during platelet activation is due to cytoskeleton (microtubules and actin) and motor-driven MB extension inducing MB's coiling and consequently its change from a disc to a spherical shape. The postdoctoral fellow will develop a biomechanical multi-scale and individual- based model of microtubules, actin filaments and motors to understand the manner the MB forms and reorganizes as the levels of platelet activation change (due to microtubule acetylation, molecular motor expression levels...).

      *Qualification*. This is an interdisciplinary project in the field of complex systems in biology. The fellow will work closely with biologists, microscopists and computer scientists.

      Only highly motivated candidates with strong skills in computer programming (mainly in C++) and a good background in biological (or physical) modelling techniques will be considered. The candidate should have proven creativity and scientific activity by publications in peer-reviewed journals. Good written and oral communication skills are required. A first experience as a post-doctoral researcher is qualifying.

      Applicants may send a detailed CV (including a publication list and oral communications, detailed skills, contact information), a cover letter, and two reference letters to Nicolas GLADE (

  • Postdoc: Computational Biology, Ryerson University, Canada
    • SMB Digest Vol 16, Issue 17 - April 27, 2016

      A postdoctoral position is available in Computational Biology in the Department of Mathematics, Ryerson University ( The research will be led jointly by Dr. Silvana Ilie and Dr. Katrin Rohlf. This position provides an opportunity to engage in research in Applied Mathematics, with a limited amount of teaching. The salary is competitive, with funding provided for one year.

      We are seeking qualified and motivated applicants in Applied Mathematics, to work on interdisciplinary projects aimed at developing stochastic modelling and simulation tools for studying biological systems. The ideal candidate would have a strong background in Applied Mathematics (Numerical Analysis and Probability) and/or Computer Science. Strong programming skills in Matlab are mandatory. In addition, experience with dynamical systems (ODEs and PDEs) is expected. Knowledge of biological/chemical reaction modeling and stochastic simulation (temporal and spatio-temporal) is considered an asset.

      The fellowship is open to candidates of any nationality and selection will be based upon the candidate's research potential and teaching ability. Ideally the job will begin on September 1, 2016, however there is some flexibility in the starting date.

      The screening process will start on May 19, 2016, and continue until the position is filled. Please note the position is advertised pending budgetary approval. Applicants should submit a curriculum vitae and three letters of recommendation. At least one of these letters should report on the candidate's teaching abilities. Application material and reference letters should be sent directly by e-mail to

      We appreciate all replies to this advertisement, but only applicants under consideration will be contacted. Ryerson University has an Employment Equity Program and encourages applications from all qualified candidates, including aboriginal peoples, persons with disabilities, members of visible minorities, and women.

  • Postdoc: Mathematical Immunology, Imperial College London, UK
    • SMB Digest Vol 16, Issue 17 - April 27, 2016

      I am looking for a postdoc with an interest in Mathematical Immunology to join my team. The attached job ad, job description and application form can be found at with the following reference: HM2016080. The closing date for applications is 8th May, the start date for the post is flexible.

  • Postdocs: Epigenomics & Multi-scale Modelling, U. North Dakota, USA
    • SMB Digest Vol 16, Issue 17 - April 27, 2016

      The Rhen Lab seeks two highly motivated postdocs. Our overarching goal is to understand mechanisms underlying organism-environment interactions and genotype-environment interactions, which are ubiquitous in nature. Such interactions have implications for problems as diverse as predicting the impact of climate change on individual species and understanding individual differences in susceptibility to environmental causes of disease.

      Postdoctoral Fellow in Epigenomics -- This position focuses on epigenetic regulation of genes required for testis and ovary development in a species with temperature-dependent sex determination. The successful candidate will conduct and analyze ChIP-qPCR and ChIP-Seq studies. Proficiency with standard bioinformatics methods is required. Prior experience with genome assembly, annotation, or genome-wide ChIP analysis is preferred. Excellent opportunity for individuals with bioinformatics training to expand their understanding of biology and develop practical expertise with wet lab techniques.

      Postdoctoral Fellow in Multi-scale Modeling -- This position focuses on development of multi-scale models to link "inside-the-skin" biological systems with "outside-the-skin" environmental factors. The successful candidate will develop multi-scale models that integrate genetic, epigenetic, and gene expression data for temperature-dependent sex determination with data on the spatial and temporal pattern of variation in temperature across North America. Expertise in computational and/or mathematical modeling is required. Familiarity with multi-scale modeling is preferred. Excellent chance for individuals with quantitative background to enter the life sciences.

      Interested candidates should send their CV, a letter that describes their scientific interests and research experience, and the names of three references to Dr. Turk Rhen at

Faculty and other positions

(Click on job title for additional information.)
  • 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:

      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 Applicants should submit all requested materials through Interfolio (referencing job announcement R2154):

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

      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

  • 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 and The Ph.D. program Web page may be found at

      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 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 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

      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

      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, 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 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 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 Visit Careers at NIAID 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

  • 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 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

      Link to Fellowships and Positions of Interest to fellows

      Link to NIH Jobs

  • 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

      * 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.

      * 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

      * 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

  • Research Scientist: Computational Bioinformatician, BHSAI, USA
    • SMB Digest Vol 16, Issue 19 - May 11, 2016

      The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. (HJF) is seeking a Computational Bioinformatician to support the U.S. Army Medical Research and Materiel Command's Biotechnology High Performance Computing Software Applications Institute (BHSAI) []. HJF provides scientific, technical, and programmatic support services to the BHSAI. This opening is for dynamic bioinformatics research scientists interested in working in multiple cross-disciplinary research projects.


      The Bioinformatics Research Scientist is responsible for advancing scientific knowledge by developing and applying their knowledge to original research problems in Military Medicine. The Research Scientist will apply their experiences in the analysis, collection, mining, and integration of multiple high-throughput datasets using computational bioinformatics and systems biology methods to understand chemical and biological interactions at the cellular and organism level.

      Foreign nationals are welcome to apply. U.S. citizenship or permanent resident status is not required. This position is located in Frederick, Maryland.

      The candidate is expected to simultaneously work on multiple projects, involving a diverse and interdisciplinary team of scientists across multiple laboratories.

      For further details, see:

  • Lecturer/Senior Lecturer/Assoc. Prof. (3 positions), Melbourne, Australia
    • SMB Digest Vol 16, Issue 18 - May 4, 2016

      Lecturer/Senior Lecturer/Associate Professor in Pure Mathematics;
      Applied Mathematics; Statistics (3 positions)

      School of Mathematics and Statistics, Faculty of Science, The University of Melbourne, Australia

      Salary: Level B AUD$92,654 - AUD$110,022 p.a.; Level C AUD$113,496 - AUD$130,866 p.a.; Level D AUD$136,658 - AUD$150,555 p.a.; PLUS 17% superannuation.

      The University plan seeks to increase the diversity of the workforce and the representation of women in areas they have been traditionally under- represented. Consistent with this, the School of Mathematics and Statistics is seeking to increase the representation of women in the academic workforce across mathematical disciplines. Pursuant to a Special Measure under Section 12 (1) of the Equal Opportunity Act 2010 (Vic), the School is seeking to lift the representation of women and therefore *will only consider applications from suitably qualified female candidates for these three positions.*

      The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline.

      The School is seeking to further enhance its expertise in applied mathematics, pure mathematics and statistics, and seeks to appoint suitably qualified female candidates in three full-time continuing positions:
      * 1 position in Applied Mathematics
      * 1 position in Pure Mathematics
      * 1 position in Statistics

      The School maintains activity in all areas of the mathematical sciences. It has research foci in many areas of algebra, analysis, geometry and topology, number theory, continuum modelling, mathematical biology, mathematical physics, discrete mathematics, operations research mathematical and applied statistics including statistical genomics, stochastic modelling and probability theory. Applications are invited across these and, moreover, in any area of the mathematical sciences.

      The successful applicants are expected to:
      * lead a vigorous research program in their relevant discipline;
      * demonstrate a strong commitment to teaching (teaching will occur within the School of Mathematics and Statistics' undergraduate and MSc programs);
      * demonstrate a strong commitment to the supervision of research students (at undergraduate, MSc and PhD levels);
      * undertake administrative tasks for the School.

      The three successful candidates will be appointed at either Academic Level B, C or D, dependent upon the Selection Panel's assessment of the individual's application.

      Applicants are asked to please nominate (in the cover letter) which discipline they would prefer to be aligned with (Applied Mathematics, Pure Mathematics or Statistics). Please note the Selection Panel may exercise its discretion to recommend a different alignment.

      Clink on this link to watch Professor Aleks Owczarek (Head of School) and colleagues discuss these exciting opportunities for suitably qualified women:

      The University of Melbourne provides a wide range of opportunities for exciting research collaborations within the School, wider University, as well as externally. Learn more about Research at The University of Melbourne:

      The University of Melbourne has been accepted as a pilot institution in the Science in Australia Gender Equality (SAGE) pilot of Athena Swan in Australia. To learn more about this program, click on the links below:

      Enquiries only to: Professor Aleks Owczarek, Tel +61 3 8344 7887,
      Close date: 31 July 2016
      For position information and to apply online go to

  • Associate Director.., Dana Farber Cancer Institute, USA
    • SMB Digest Vol 16, Issue 18 - May 4, 2016

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

      *About Dana-Farber*
      Located in Boston, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

      The mission of Dana-Farber Cancer Institute is to provide expert, compassionate care to children and adults with cancer while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases.
      Our Core Values are:
      * Impact - Above all else, we make a difference by relieving the burden of disease now and for the future through our research, clinical care, education, outreach and advocacy.
      * Excellence - We pursue excellence relentlessly and with integrity in all that we do, adhering always to the highest standards of conduct.
      * Compassion and respect - For those in our care and for one another.
      * Discovery - We foster the spirit of inquiry, promoting collaboration and innovation across traditional boundaries while celebrating individual creativity.

      Reports to: Director of Scientific Operations
      Role and Responsibilities: The Associate Director for Scientific Operations will work closely with the Director to fulfill the scientific mission of the CCE. The principal mission of the CCE is to develop and validate mathematical modeling strategies of tumor evolution and treatment response, and eventually utilize these strategies to identify best therapeutic intervention. We will investigate the treatment response of cancer cells and their microenvironment, develop novel mathematical frameworks describing the evolutionary dynamics of tumor progression and treatment response that are parameterized using the experimental systems, and predict and validate optimum intervention strategies that will ultimately be implemented as prospective clinical trials. The Associate Director for Scientific Operations will have responsibility for furthering the daily research operations of the Center. In addition, the Associate Director for Scientific Operations will have oversight responsibilities for the CCE's scientific mission and will, jointly with Center Leadership, supervise the Postdoctoral Fellows. More specifically, he/she will have the following responsibilities:
      * Support the Director in setting the scientific direction and the operational priorities for the Center.
      * Create mathematical models and statistical/bioinformatic analysis platforms in a variety of contexts such as evolutionary dynamics of cancer and cancer progression, treatment responses and treatment optimization and implement them in the scope of the Center's research.
      * Direct and facilitate collaborative projects
      * Assist in grant and manuscript preparation and develop fundraising material for the Center.
      * Prepare reports and give presentations as needed.
      * Attend at least one conference/meeting per year related to the activities of the Center.

      The Associate Director will be designated a Senior or Principal Research Scientist and as such must fulfill the Dana-Farber requirements for this title. In addition, the Associate Director must fulfill the following requirements:
      * PhD level education with proven work experience in his/her respective field of endeavor.
      * Background in applied or pure mathematics, statistics, bioinformatics or computational biology; an interest in cancer biology and a work experience in probability theory and statistics are necessary.
      * Ability to work with senior level academic track scientists both within and outside his/her lab.
      * Ability to manage research databases.
      * Extensive knowledge of mathematical modeling and evolutionary theory as related to cancer, biostatistics methods and bioinformatics software, and the ability to create novel analysis platforms
      * Strong management and supervisory skills.
      * Excellent computer, analytical and writing skills.

      *How to Apply*
      Please apply directly online at Click Search Job Openings and use the Job ID number to quickly locate the appropriate job listing. Once you have located the desired job, click on the checkbox in the 'Select' column, and then click the 'Apply Now' button, located at the bottom of the screen.
      DFCI Employees please apply directly through PeopleSoft Self Service. Sign on to PeopleSoft and navigate to Main Menu > DFCI Careers.

      *Equal Employment Opportunity*
      Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.

      Apply Here:

  • Senior Lecturer: Mathematical Modelling and Analysis, Umeå, Sweden
    • SMB Digest Vol 16, Issue 16 - April 20, 2016

      The Department of Mathematics and Mathematical Statistics at Umeå University, Sweden, invites applicants for a research-oriented permanent position as senior lecturer in mathematical modelling and analysis (e.g., mathematical ecology).

      The successful applicant is expected to sustain active research within mathematical modelling and analysis with connections to the department's current activities in this area and to neighboring departments and units. Examples of relevant research areas are population dynamics, frequency-dependent evolution, structured population models, and optimal switching. The holder of the position will primarily be based at Umeå University's creative research environment IceLab (, which currently houses about 20 young scientists conducting interdisciplinary research, training, and education at the intersection of physics, mathematics, social sciences, and the life sciences.

      For full application details, please see

      Applications must be submitted through Umeå University's web-based recruitment system linked above. Last application date is 2016-05-30.

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