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, weโre committed to creating an environment for you to thrive both personally and professionally.
The TeamAs part of the Gates Foundation (GF), the Institute for Disease Modelingโs (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.
Your Role
We are seeking a full-time Senior Research Scientist with exceptional expertise in applied statistics, quasi-experimental research design, and quantitative research methods to join the Gender, Vulnerability, and Health Equity team at IDM. This individual will play a leading role in designing and executing cutting-edge research on the implementation and scale-up of health and development interventions, with a particular (but not exclusive) emphasis on womenโs and childrenโs health. The candidate is expected to develop and apply statistical models aimed at understanding the social, economic and structural mechanisms which drive successful program implementation and expansion. They will be responsible for analyses focused around evaluating complex trade-offs that occur with programmatic and policy decisions (e.g., quasi-experimental, causal inference or optimization research).
What youโll do:
- Lead the design and application of rigorous statistical models to understand the social, economic, and structural factors driving successful intervention or product implementation.
- Use quasi-experimental designs, causal inference techniques, and/or optimization methods to evaluate trade-offs in programmatic decisions.
- Analyze and integrate data from diverse sourcesโincluding household surveys, administrative data, as well as other nontraditional sourcesโoften in contexts where data quality may vary.
- Study the interplay between population dynamics (e.g., demographics, household economics, socio-cultural norms, and behavior) and health system performance in shaping program effectiveness.
- Collaborate closely with interdisciplinary research teams, regional partners, and local organizations to co-design and implement research activities.
- Translate statistical findings into insights for policy and practice and communicate methods and results clearly to technical and non-technical audiences.
- Partner with other internal teams and external consultants to align research outputs with strategic priorities.
- Contribute to the scientific literature through peer-reviewed publications and thought leadership.
- Some international travel may be required.
Your Experience:
- A Ph.D. in public health, social science, or a related field with a strong foundation in advanced statistical methods, or in statistics, biostatistics, or applied mathematics with demonstrated application to real-world global health or development challenges.
- Minimum of five (5) years of post-PhD research experience, with demonstrated leadership in applied statistical research for global health or development.
- Proven expertise in advanced statistical methods such as causal inference, quasi-experimental designs, or optimization modeling.
- Strong coding and data analysis skills in at least one programming language (Python or R strongly preferred).
- Experience working with complex and messy datasets, including in low-resource or LMIC contexts.
- Track record of peer-reviewed publications in global health, implementation science, or statistical modeling (please include publication list with application).
Other Attributes:
- Knowledge of womenโs and childrenโs health preferred but not required, candidates with experience in a wide range of global health and development topics are encouraged to apply.
- Excellent communication skills, including ability to explain technical concepts to cross-disciplinary teams and decision-makers.
The salary range for this role is $186,400 to $288,800 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 $203,100 to $314,900 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 candidateโs job-related skills, experience, and expertise, as evaluated during the interview process.
#LI-CM1
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
If you require assistance due to a disability in the application or recruitment process, please submit a request here.
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 โ of voices, ideas, and approaches โ 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.