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 TeamAs part of the Gates Foundation, the Institute for Disease Modeling’s (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
In this role, we seek a full-time Senior Research Scientist to join the Health and Data Systems (HDS) team within IDM’s Gender, Vulnerability and Health Equity (GVHE) research team. We are seeking a candidate that will apply advanced quantitative modeling to inform strategies that improve the delivery and impact of health interventions. This will span both vertical programs (focusing on the design optimization and delivery models that guide strategy teams in developing disease-specific interventions that balance coverage, cost, and impact) and cross-cutting health systems questions by embedding vertical models within broader realities to ensure that recommended intervention mixes are feasible and sustainable. You will apply multi-objective optimization approaches that integrate cost, delivery, equity and system constraints to provide insights more than ‘best value for money’. You will play a key role in engaging with internal and country partners, ensuring our models provide actionable insights for delivery, optimization, and investment strategies.
What You’ll Do
Your Experience
Other Attributes
The salary range for this role is $190,100 to $294,700 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 $209,100 to $324,100 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 candidate’s 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
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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.