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

The Foundation

We are the largest nonprofitfighting poverty disease and inequity around the world. Founded on a simple premise: people everywhere regardless of identity or circumstances should have the chance to live healthy productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve.We provide an exceptional benefits package to employees and their families which include comprehensive medical dental and vision coverage with no premiums generous paid time off paid family leave foundation-paid retirement contribution regional holidays and opportunities to engage in several employee communities.As a workplace were committed to creating an environment for you to thrive both personally and professionally.

The Team

Your Role

In this role we seek a full-time Senior Research Scientist to join IDMs Gender Vulnerability and Health Equity (GVHE) research team with deep expertise in applied statistics for population health research. This role sits at the intersection of nutrition science and population health modeling: the core question is how nutrition investments interact with and amplify outcomes across infectious disease maternal health and human capital programs. The successful candidate will bring enough depth in nutrition science to identify which interventions are likely to produce synergistic effects and to guide the disease modeling work while also having strong quantitative skills in causal inference and comparative impact estimation across domains. This role is well suited to a quantitative epidemiologist or global health researcher who has worked across disease areas and has meaningful nutrition exposure. Candidates whose primary background is in mechanistic or biological systems modeling of nutrition single-domain health economics without cross-program experience or nutrition epidemiology without a modeling or investment-decision context are unlikely to be a good fit.

What Youll Do

• Model how nutrition investments interact with and modify outcomes in infectious disease maternal health and related domains developing stratified population models that make effect heterogeneity by nutritional status disease burden and geography empirically visible
• 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) often characterized by missingness bias or measurement limitations
• Apply advanced modeling methods to extrapolate evidence on program/ intervention effectiveness to different contexts and populations generating rigorous projections to inform program scale-up and future investment planning
• Quantify and communicate assumptions uncertainty and limitations of analyses to both technical and non-technical audiences
• Collaborate closely with interdisciplinary teams to co-develop research questions and analytical approaches
• Translate statistical results into clear actionable insights for internal stakeholders and external partners
• 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
• Some international travel may be required

Your Experience

• PhD in statistics biostatistics epidemiology nutrition science or related quantitative discipline (e.g. mathematical demography economics data science etc.)
• 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
• Proven ability to work with messy incomplete and imperfect real-world data
• Experience collaborating in interdisciplinary and cross-sector research environments

Other Attributes

• 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

** Must have unrestricted work authorization in the country where this position is located. The Foundation does not provide immigration-related sponsorship for this role. This includes direct company sponsorship and any work authorization requiring a written submission or other immigration support from the company (eg: H-1B O-1 L-1 E OPT STEM-OPT CPT TN J-1 etc.).

The salary range for this role is $190100 to $294700 USD. We recognize high-wage market differences in Seattle and Washington D.C. where our offices are located. The range for this role in these locations is $209100 to $324100 USD. As a mission-driven organization we strive to balance competitive pay with our mission. New hires salaries are typically between the range minimum and the salary range midpoint. Actual placement in the range will depend on a candidates job-related skills experience and expertise as evaluated during the interview process.

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Hiring Requirements

As part of our standard hiring process for new employees employment will be contingent upon successful completion of a background check.

Candidate Accommodations

Were committed to providing an inclusive and accessible hiring experience for all candidates. If you have a disability or medical condition and need an accommodation at any stage of the application or interview processsuch as an ASL interpreter alternative interview format or physical accessibility supportwere happy to help. Please contact with the position number and a brief description of your accommodation needs. Requests will be handled confidentially.

Inclusion Statement

We are dedicated to the belief that all lives have equal value. We strive for a global and cultural workplace that supports ever greater diversity equity and inclusion of voices ideas and approaches and we support this diversity through all our employment practices.

All applicants and employees who are drawn to serve our mission will enjoy equality of opportunity and fair treatment without regard to race color age religion pregnancy sex sexual orientation disability gender identity gender expression national origin genetic information veteran status marital status and prior protected activity.