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. Their 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 their work, they 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.
They seek a postdoctoral research scientist to join the IDM Data, Dynamics, and Analytics team for a 2-3 year period. The researcher will be focused on investigating genomic data collected from the spread of infectious diseases. Importantly, the research aims to better understand how genomic data can inform operational decision-making in elimination settings, disease transmission modeling, and developing surveillance strategies during outbreaks and intervention programs. This research will be communicated to the scientific community through presentations at conferences and publications in peer-review journals. We will also present the work to global health policymakers. Joining our group offers a unique opportunity to interact with a wide range of near-term important challenges facing the global health community, while concurrently developing a competitive CV to launch a career in global development.
- Build upon existing data-driven analyses of genomic data collected from infectious diseases such as malaria parasites
- Collaborate with the international research community on identifying operationally realistic genomic surveillance tools
- Contribute to the integration of genomic data analyses and disease transmission modeling 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
- Extensive experience working with real data
- Passion for improving public health in developing world settings
- Multiple peer-reviewed scientific articles
- Proficiency in current machine-learning and data science methodologies
- A background in genomic data analyses
- Training in dynamical systems; specifically, around disease transmission models
To apply for this position, click here.
Global Good is an equal opportunity employer.