Senior Research Scientist, Global Health Modeling (*LTE

Position: Senior Research Scientist, Global Health Modeling (*2-year LTE)
Senior Research Scientist, Global Health Modeling ( 2-year LTE) page is loaded## Senior Research Scientist, Global Health Modeling ( 2-year LTE) locations:
Seattle, WAtime type:
Full time posted on:
Posted Todayjob requisition :
B021506
** The Foundation
** We are the largest nonprofit fighting 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, we’re committed to creating an environment for you to thrive both personally and professionally.
** The Team
** As part of the Gates Foundation (GF), the Institute for Disease Modeling (IDM) mission is to support global efforts to eradicate infectious diseases and achieve permanent improvements in health by developing, using, and sharing computational modeling tools and promoting quantitative decision-making. The IDM team is composed of research scientists and software developers who create advanced models of disease transmission, develop computational tools to inform global disease eradication policy, conduct analysis of epidemiologically- and policy-relevant data, and identify and address critical knowledge gaps.

IDM is a highly dynamic organization with a work environment that is defined by innovation and collaboration. As part of our work, we routinely collaborate with international health agencies, ministries of health in the developing world, as well as universities and research institutes across the globe.
This position is a limited-term position for 2 years. Relocation will be provided.
** Your Role
** In this role, we seek a full-time Senior Research Scientist to join IDM’s Gender, Vulnerability and Health Equity (GVHE) research team with deep expertise in applied statistics for population health research. This role is ideal for a statistician who excels at applying advanced statistical methods to demographic, socioeconomic, and health-related questions, with a strong emphasis on forecasting and time-series analysis.

The successful candidate will focus on generating practical, interpretable insights from complex data to inform public health strategy and policy. Candidates whose primary background is in theoretical statistics, biological systems modeling, or clinical trials–focused biostatistics are unlikely to be a good fit.
** What You’ll Do
*** Design and implement applied statistical analyses to address population-level questions related to demography, socioeconomic dynamics, and public health outcomes
* Develop and apply forecasting and time-series models to inform planning, scenario analysis, and strategic decision-making
* 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,…