Senior Research Scientist, Population Health Modeling (Nutrition and Disease) (*2-year LTE)
Core
Modeling how nutrition investments interact with and modify outcomes in infectious disease, maternal health, and human capital programs to inform global health policy and investment decisions.
Role type
Senior Research Scientist (Population Health Modeling)
Builds
Stratified population models and comparative impact estimates for portfolio-level decisions
Domain
Global health, nutrition science, epidemiology, and public policy
Deliverable
production ML models | dashboards & analysis | research
Required skills
Causal inference, comparative impact estimation, applied statistics, Python or R, reproducible research workflows, data analysis with missingness/bias, interdisciplinary collaboration
Preferred skills
Experience in low- and middle-income countries, international travel
Technologies
Python, R
Responsibilities
Develop stratified population models to visualize effect heterogeneity; Translate multi-intervention impact estimates into comparative evidence; Analyze complex real-world datasets; Extrapolate evidence on program effectiveness to different contexts; Quantify and communicate assumptions and uncertainty; Collaborate on research questions and analytical approaches; Translate statistical results into actionable insights; Contribute to internal reports, policy briefs, and peer-reviewed publications
Seniority
Senior, hands-on IC