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Principal Research Scientist, TB Modeling

Job in Seattle, King County, Washington, 98127, USA
Listing for: Bill & Melinda Gates Foundation
Full Time position
Listed on 2026-01-01
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Job Description & How to Apply Below
Principal Research Scientist, TB Modeling page is loaded## Principal Research Scientist, TB Modeling locations:
Seattle, WAtime type:
Full time posted on:
Posted Todayjob requisition : B021342
** 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.

The Discovery Product and Surveillance (DPS) team at IDM advances disease control by producing analytical insights that increase programmatic effectiveness. We achieve this through modeling, data integration, and developing innovative tools to support targeted and equitable public health decisions. Our rigorous modeling helps identify key drivers of disease risk and intervention outcomes. DPS aims to improve understanding of how products and interventions will perform in the real world and to generate evidence across pathogens, within individuals and among populations.

Final date to receive applications:
Application review for this position will begin in January 2026. We encourage interested candidates to submit their materials in advance to the Final date to receive applications of Wednesday, January 7, 2026.
** Your Role
** We seek a Principal Research Scientist to join the DPS team to lead efforts in dynamic modeling of tuberculosis (TB) to support the design, evaluation, and strategic deployment of TB prevention and treatment products. This candidate will be central to advancing our scientific understanding of TB epidemiology and refining and applying TB transmission models that capture the nuances of disease risk, natural history, and intervention impact to inform product development and public health impact strategies.

The candidate will adapt knowledge, ideas, and research methodology from different disciplines to develop innovative approaches to longstanding challenges in the field of global health and clearly communicate sophisticated research methods to diverse audiences.
** What You’ll Do
*** Lead and develop disease modeling projects to support global tuberculosis elimination and meet foundation program needs.
* Effectively communicate insights from modeling results to senior leaders, non-technical staff, partners, and other stakeholders, ensuring that findings support programmatic decision-making.
* Establish trusted relationships with internal and external entities, such as academic institutions and industry partners.
* Serve as strategic advisor to the Deputy Director of Discovery, Products & Surveillance on modeling across topics;
Advise on utilization of IDM resources across initiatives.
* Challenge fundamental approaches in TB modeling; evaluate long-standing assumptions and structures in existing TB models; make recommendations to improve TB modeling that will inform next-generation intervention discovery and development and enhance programmatic impact.
* Collaborate with topic experts, field partners,…
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