The Institute for Health Metrics and Evaluation (IHME) is a dynamic organization at the University of Washington. Its mission is to monitor global health conditions and health systems, as well as to evaluate interventions, initiatives, and reforms. A core research area for IHME is the Global Burden of Diseases, Injuries, and Risk Factors enterprise (GBD). A systematic, scientific effort to quantify the comparative magnitude of health loss due to diseases, injuries, and risk factors by age, sex, and geography over time, the GBD is the largest and most comprehensive effort to date to measure epidemiological levels and trends worldwide. The GBD’s aim is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base to make decisions that achieve better health.
The Financial Resources for Health (FRH) team is a longstanding, core research team at IHME. The focus of this research team is to systematically, scientifically track resources spent on health and measure their impact. This research is both domestic and international and uses a wide variety of data types and statistical processes.
IHME has an exciting opportunity for a Researcher who will contribute to the development, implementation, and analysis of IHME’s FRH research. They will participate in several stages of analysis and production of research output, including analysis planning, project brainstorming, data management, statistical analysis, validation of results, visualization of results, and the development of written manuscripts, presentations, and reports. To do so, the individual must be able to identify and assess available relevant data, complete analyses, interpret output, and collaborate with the team. The Researcher will work with data from surveys, global databases, censuses, published literature, registries, and administrative records, among others. The Researcher will assess all available data and use or develop modeling tools to produce up-to-date and scientifically credible estimates and indicators used to evaluate and measure the impact of financial flows for health.
Researchers will be integrally involved in producing, critiquing, improving, and disseminating results. Researchers must develop an understanding of IHME’s financial resource-tracking methodologies and must already have a strong command of data manipulation and estimation techniques. Specifically, they must have experience working in global health settings and be proficient in a least one and ideally two of the following: Stata, R, Python, or SQL. The individual will work with data analysts, data specialists, projects officers, senior research leads, and faculty and take part in the intellectual exchange about how to improve upon the results, as well as the creation of papers and presentations that help share results with broader audiences. The individual will be expected to interact successfully with a wide range of stakeholders and to describe complex concepts and materials concisely. Overall, the Researcher will be a critical member of an agile, dynamic research team. This position is contingent on project funding availability.
Research command and analyses
Publication and dissemination
Master’s in public health, epidemiology, statistics, biostatistics, or related field plus three years’ related experience, or equivalent combination of education and experience.
- Demonstrated interest in the research described.
- Experience and demonstrated success in modeling using at least one and ideally two of the following programming languages: Stata, Python, R, and SQL.
- Excellent analytical and quantitative skills.
- Ability to undertake research projects with limited guidance.
- Excellent communication skills, including track record of success in writing for publication, presenting research proposals and results, and representing research groups at meetings.
- Ability to thrive in a fast-paced, team-oriented research environment with a focus on producing innovative, policy-relevant results.
- A theoretical and practical understanding of quantitative analysis.
- A flexible character and willingness to engage in all types and stages of academic quantitative research on global health.
- PhD in public health, epidemiology, statistics, biostatistics, or related field.
- A theoretical and practical understanding of infectious disease epidemiology.
- Expertise in a second computer programming language or mathematical platform.
Condition of Employment:
Evening and weekend work may be required.