Postdoctoral Research Scientist – HIV Modeling
Location: Bellevue, WA, USA
Date Published: May 18, 2017
The Institute for Disease Modeling (IDM), part of Intellectual Ventures’ Global Good program, is a collaborative effort to simulate the eradication of infectious diseases using computer software. The IDM team is a highly dynamic organization with a work environment that is defined by innovation and collaboration. Our team is composed of research scientists and software professionals who focus on creating powerful and innovative disease modeling and data analysis tools to help researchers and policy makers understand diseases, their causes, the way they spread, and the best types of interventions to use for the particular situation faced. The IDM team architects advanced models of disease transmission, develops computational tools to inform global disease eradication policy, conducts analysis of epidemiologically- and policy-relevant data, and identifies critical knowledge gaps. As part of our work, we routinely collaborate with groups at the World Health Organization, the Center for Disease Control, PATH, the Bill and Melinda Gates Foundation, ministries of health in the developing world, as well as universities and research institutes. IDM is committed to improving and saving lives in developing countries through the use of quantitative analysis.
We seek a postdoctoral researcher to join the IDM HIV modeling 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
- Collaborates with international researchers, NGOs, funders, and foreign governments to assist with planning HIV/AIDS programs, refine the models, conduct sensitivity analyses, and explore tradeoffs among possible interventions
- Collaborates with program implementers and clinical trial teams to interpret and analyze input data to the models
- Assists in the preparation of research articles and conference presentations communicating 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)
- 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, with preference given to first-hand experience.
- Multiple published articles in peer-reviewed scientific journals. List of articles to be submitted with application.
- Experience in C/C++ software development is preferred, but not required.
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.
We are an equal opportunity employer