Senior Research Scientist, Population Health Modeling (Nutrition and Disease) (*2-year LTE)

About the role

The Senior Research Scientist will join IDM’s Gender, Vulnerability and Health Equity (GVHE) research team. The role focuses on understanding how nutrition investments intersect with infectious diseases, maternal health, and human capital programs. Key responsibilities include developing stratified population models, analyzing complex datasets, and communicating findings to both technical and non-technical audiences.

Responsibilities

• Model how nutrition investments interact with and modify outcomes in infectious disease, maternal health, and related domains
• Translate multi-intervention impact estimates into comparative evidence that informs portfolio-level decisions
• Analyze complex, real-world datasets (e.g., surveys, surveillance systems, administrative and programmatic data)
• Extrapolate evidence on program/ intervention effectiveness to different contexts and populations
• Quantify and communicate assumptions, uncertainty, and limitations of analyses
• Collaborate with interdisciplinary teams to co-develop research questions and analytical approaches
• Contribute to high-quality applied research outputs, including internal reports, policy briefs, and peer-reviewed publications
• Support reproducible research practices through well-documented, maintainable code and analytical workflows

Requirements

• PhD in statistics, biostatistics, epidemiology, nutrition science or related quantitative discipline
• Minimum of five (5) years of post-PhD experience conducting applied statistical research in public health or population-level research settings
• Demonstrated experience applying statistical methods to demographic, socioeconomic, and health-related research questions
• Experience translating multi-intervention trial and program data into comparative impact estimates across disease areas or outcome domains
• Sufficient grounding in nutrition science to identify plausible interaction mechanisms, evaluate program designs for synergistic effect, and guide disease modelers on which nutritional pathways to represent
• Advanced skills in Python or R, with experience developing reproducible and scalable analytical workflows
• Experience collaborating in interdisciplinary and cross-sector research environments

Qualifications

• Strong written and verbal communication skills, with the ability to explain statistical findings clearly to diverse audiences
• Experience working in global health and low- and middle-income countries is a plus

Skills

• Statistical modeling
• Data analysis
• Programming (Python/R)
• Interdisciplinary collaboration
• Communication

Benefits

• Comprehensive medical, dental, and vision coverage with no premiums
• Generous paid time off
• Paid family leave
• Foundation-paid retirement contribution
• Regional holidays
• Opportunities to engage in several employee communities

Pay

• $190,100 to $294,700 USD

Schedule

• Full-time position for 2 years
• Relocation provided