Interim Senior Research Scientist, Health Care Delivery, Disease Modeling, Seattle, United States 351 views

The Institute for Disease Modeling (IDM), part of the Bill and Melinda Gates foundation, is a collaborative effort to simulate the eradication of infectious diseases using computer software. The IDM team is a highly dynamic organization with a work environment that is defined by innovation and collaboration. Our team is composed of research scientists and software professionals who focus on creating powerful and innovative disease modeling and data analysis tools to help researchers and policy makers understand diseases, their causes, the way they spread, and the best types of interventions to use for the particular situation faced. The IDM team architects advanced models of disease transmission, develops computational tools to inform global disease eradication policy, conducts analysis of epidemiologically- and policy-relevant data, and identifies critical knowledge gaps. As part of our work, we routinely collaborate with groups at the World Health Organization, the Center for Disease Control, PATH, other teams at the Bill and Melinda Gates Foundation, ministries of health, as well as universities and research institutes. IDM is committed to improving and saving lives in developing countries through the use of quantitative analysis.

We are looking for an exceptional Senior Research Scientist to lead & support efforts to gather, analyze, and model data on healthcare delivery in one or more LMIC’s (Low & Middle Income Countries). In collaboration with country health programs, team members, and/or external researchers, you will identify important healthcare delivery problems, features, and dependencies through statistical analysis, modeling and propose contextually appropriate solutions. You have extensive experience working within at least one health system. Part of your work will develop new modeling approaches to quantitatively capture the functioning of a health system in order to understand e.g. how new technologies and interventions can strengthen health systems or what affect COVID-19 pandemic has on service delivery. You will also explore how passively collected routine low-latency data can be used to improve health system measurement and disease surveillance. You may also support research efforts towards global polio eradication and control of other vaccine preventable diseases, particularly along the dimension of delivery.

The position is for 18 months Limited Term Engagement and is located in Seattle. The role reports to The Deputy Director of Research Programs on the Disease Modeling Team in Global Health Division.

Core Responsibilities:

Gather, analyze, and model data from health systems in LMIC’s. Identify features, structures, and relationships in these data

Build projects that are well aligned within a strategy that supports high-level deliverables

Work closely with external collaborators to acquire data, develop impactful research directions, and adjust models.

Model the efficiency and effectiveness of primary health care delivery and other health interventions

Review scientific and grey literature on the delivery of primary healthcare and other health interventions to inform on problems, identify new analyses to perform, and to set the context for current research

Support polio eradication efforts

Write summaries of results to be used in policy recommendations, white papers, and scientific publications



computer software


data analysis

disease control

disease surveillance

global health

health services

health systems

infectious diseases

information systems

management information systems

new technologies


primary health care


vaccine preventable diseases

Write research articles and conference presentations communicating projects and results to the scientific community

Present work to research and policy audiences.

Key Qualifications and Required Skills:

Prior experience working within a health system in LMIC, and in particular on health system strengthening interventions.

At least 2 years’ experience in managing complex projects involving multiple individuals, stakeholders, and timelines

PhD in science or in a quantitative field (e.g. Statistics, Biostatistics, Applied Mathematics, Physics, Economics); or PhD in health fields with addition of significant quantitative experience (e.g. Epidemiology, Public Health, Health Services, Global Health); or Masters or Medical degree with strong quantitative experience.

Working knowledge of health system data sources such as health facility surveys, health management information systems, and electronic medical records.

Proficiency in at least one data-analysis or scripting language (e.g. R, Python); proficiency with Excel

Knowledge of a variety of statistical methods and application to data

Ability to initiate, organize, and manage research projects and clearly communicate analysis results to diverse audiences

Demonstrated ability to work productively independently and as part of a team

As part of our standard hiring process for new employees, employment with the Bill and Melinda Gates Foundation will be contingent upon successful completion of a background check.

The Bill & Melinda Gates Foundation is dedicated to the belief that all lives have equal value. We’re committed to creating a workplace where employees thrive both personally and professionally. We also believe our employees should reflect the rich diversity of the global populations we aim to serve—in race, gender, age, cultures and beliefs—and we support this diversity through all of our employment practices.

All applicants and employees who are drawn to serve the mission of the Bill & Melinda Gates Foundation 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

* Prior Protected Activity


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