As part of Intellectual Ventures' Global Good initiative, the Institute for Disease Modeling’s (IDM) mission is to guide global efforts towards the eradication and control of infectious disease through the use and promotion of quantitative analysis. IDM 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 research scientist or research statistician to join the IDM Data, Dynamics, and Analytics team. The researcher will be focused on applying modern data science, machine-learning, and statistical techniques to a wide-range of data sources including infectious disease data, household survey data, genomes, etc. We aim to leverage the growing success of modern analytic and numerical methods to investigate and characterize the diverse datasets being collected in resource-constrained settings. The primary goal is to help with near-term public policy questions facing the global health community. This research will be communicated to the scientific community through presentations at conferences and publications in peer-review journals. We will also communicate this work to relevant global health policymakers.
- Collect and integrate a diverse set of data sources
- Build novel models and analyses for the global health community
- Identify any shortcomings of standard analytic and numerical methodologies
- Develop principled work-arounds and novel methodologies
- Collaborate with the international research community
- Contribute to ongoing analyses and investigations at IDM
- Assist in the preparation of research articles and conference presentations
Key Qualifications and Required Skills
- Ph.D. in a quantitative field such as Applied Mathematics, Statistics, Biostatistics, Engineering, Atmospheric Sciences, Computer Science, etc.
- Proficiency in at minimum one scientific computing software (e.g., R, Python, Matlab, etc.)
- Extensive knowledge of numerical techniques common to mathematical and statistical analyses
- Experience with recent machine-learning methods and data science techniques
- Extensive experience working with real data
- Passion for improving public health in developing world settings
- Multiple peer-reviewed scientific articles
- Training in dynamical systems; specifically, around disease transmission models
- Experience with survey data and statistical sampling techniques
We are an equal opportunity employer