Postdoctoral Researcher, HIV Modelling

The Institute for Disease Modeling (IDM) creates disease modelling and data analysis tools for understanding diseases, their causes, the way they spread, and the planning and optimization of global health interventions. IDM is composed of research scientists and software professionals, and collaborates with universities, NGOs, government ministries, and other research and public health institutions.
IDM seek a postdoctoral researcher to join the IDM HIV modelling team for a three-year term. The researcher will collaborate on the development, refinement, and utilization of a sophisticated epidemiological model of HIV transmission; analyze epidemiologically- and policy-relevant data sets; and help to identify critical knowledge gaps. The researcher will configure, calibrate, and exercise disease models to answer questions aimed at refining the HIV research agenda, improving understanding of disease dynamics, informing effective public health campaigns, and guiding rational development of new interventions. The research, models, and results will be presented to collaborators and stakeholders, presented at conferences, and published in academic journals.


  • Builds and improves models of HIV transmission
  • Writes software code (in C/C++) to implement model features
  • Works closely with the modellers, programmers, and statisticians on the team to refine the models and use them to conduct sensitivity analyses, and explore tradeoffs among possible interventions
  • Finds, organizes, and interprets sources for the necessary input data to the models
  • Collects, analyzes, and presents data on model results and performance
  • Prepares research articles and conference presentations
  • Communicates the project and its results to the scientific community

Key Qualifications and Required Skills:

  • Ph.D. in a quantitative field (e.g. Applied Mathematics, Statistics, Epidemiology, Quantitative Biology, Experimental Physics, Computer Science)
  • At least 2 years’ experience in C/C++ software development
  • Proficiency in at least one data-analysis or scripting language (e.g. MATLAB, python, R)
  • Principles, techniques, and tools of computational epidemiology
  • Passion for improving public health in developing world settings
  • Multiple published articles in peer-reviewed scientific journals (to be submitted with application)

Joining our group provides unique opportunities to interact with global-health policymakers, to collaborate with world-class research laboratories and non-profit organizations, and to contribute to global and national disease control strategies.

Interested candidates should apply with a CV and list of publications by emailing Anna Bershteyn at

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