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Research Scientist; Temporary), RGUD

Job in Seattle, King County, Washington, 98127, USA
Listing for: University of Washington
Seasonal/Temporary position
Listed on 2026-06-18
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
  • Healthcare
    Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Research Scientist (Temporary), RGUD

Job Description

The Institute for Health Metrics and Evaluation (IHME) offers an outstanding opportunity for a Research Scientist to join its Reproductive, Genitourinary and Digestive (RGUD) disease estimation team. Reporting to the Acting Assistant Professor, the Research Scientist will drive high-impact global health research at IHME, analyzing quantitative data across causes of death, epidemiology, and social determinants to produce key estimates that inform global health policy.

The role involves leading research design, mentoring junior staff, and contributing to peer‑reviewed publications while managing multiple projects in a collaborative environment. The ideal candidate is a motivated, deadline‑driven researcher ready to advance their career by translating cutting‑edge scientific advances into meaningful global health insights.

Office:
Seattle, Washington at the Hans Rosling Center for Population Health at the University of Washington. Eligible to work fully remote in the US and requires overlap 50% of IHME office hours between 8 a.m. and 6 p.m. Pacific Time.

Key Responsibilities
  • Exhibit command of one or more of the research areas in the RGUD portfolio, including the methodology and its components. Independently carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions, and inform team leaders. (45%)
  • Develop and implement new computational and statistical methods. Create, test, and use relevant computer code in R. Maintain, modify, and execute analytic machinery that generates results. Develop, quality check, and distribute complex datasets to be used in epidemiological and statistical analyses. (20%)
  • Assist in drafting presentations and manuscripts and contribute to funding proposals. Lead and co‑author scientific articles in peer‑reviewed journals. (15%)
  • May lead and/or mentor junior staff. Provide ideas and content for the development of internal trainings. Teach established trainings. Contribute to research design. (10%)
  • Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques. (5%)
  • Other duties as assigned that fall within reasonable scope of research team. (5%)
Required Qualifications

Minimum Qualifications
  • Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus four years of related experience.
Additional Qualifications
  • Growing peer network where sought out as having solid command of engineering/technical areas, a given disease, risk, key indicator, relevant methodological area, and the related data sources and scientific underpinnings.
  • Excellent analytic, critical thinking, and quantitative skills.
  • Results- and detail-oriented individual who can initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload is key.
  • Experience devising and executing statistical modeling techniques.
  • Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code.
  • Ease in designing, executing, and troubleshooting code in R.
  • Excellent written and oral communication skills required, including track record of success in co‑authorship on multiple scientific papers, presenting results, and representing research at meetings.
  • Demonstrated ability to contribute to and sustain collaborations with external research teams.
  • Experience in working with large data sets, including devising strategies for reliable data management for large data sets, computationally efficient modeling techniques to use such data sets, and critical evaluation of highly multidimensional model outputs that result from such work.
  • Ability to work both independently and in collaboration with a team.
  • A long-term interest in a research scientist position contributing to the overall mission of our research.
Preferred Qualifications
  • MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years of experience preferred.
  • Experienc…
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