Researcher (Temporary), Integrated Analytics

The Institute for Health Metrics and Evaluation (IHME) is an independent research organization at the University of Washington (UW). Its mission is to deliver to the world timely, relevant, and scientifically valid evidence to improve health policy and practice. IHME carries out its mission through a range of projects within different research areas including the Global Burden of Diseases (GBD), Injuries, and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations.

IHME has an excellent opportunity for a Researcher on the Integrated Analytics team. IHME Researchers analyze and produce key estimates for their assigned research team and will assess all available quantitative data – including those on causes of death, epidemiology, and a range of determinants such as education and income – from surveys, vital registration, censuses, literature, registries, and administrative records. Using established modeling tools and through creation of novel code, Researchers incorporate all relevant data to produce the most up-to-date and scientifically credible results.

You will be integrally involved in producing, critiquing, improving, and disseminating results. You already have a command of epidemiology, statistics, disease modeling, or related interests, and we will help you develop an understanding of our core research and methodology. Our Researchers work with data and research professionals at all levels, and with external collaborators to take part in the intellectual exchange about how to improve upon and disseminate the results.

You are expected to interact successfully with a wide range of partners and to describe complex concepts and materials concisely. Overall, Researchers are critical members of agile, dynamic research teams.

This position is contingent on project funding.

Responsibilities:

• Develop a core understanding of assigned research area methodology and its components.
• Under the guidance of experienced scientist and/or faculty, carry out quantitative analyses and statistical modeling to produce results designated on a given timeline as part of collaborative research projects.
• Extract data from various sources and databases. Format, transform, review, and assess data sources to determine their relevance and utility for ongoing analysis. Understand key data sources and variations in these across and within countries.
• Review, assess, and improve results and methods.
• Apply computational and statistical tools and algorithms for the preprocessing, analysis, and visualization of source data.
• Document code and analytic approaches systematically so that analyses can be replicated by other team members.
• Lead discussion in research meetings about results and analyses to vet, improve, and finalize results.
• Contribute to the creation of presentations, manuscripts, and funding proposals. Coauthor scientific publications in peer-reviewed journals.
• Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques.
• Other duties as assigned that fall within reasonable scope of research team.

Minimum Qualifications:

• Master’s Degree in Public Health, Epidemiology, Statistics, Biostatistics, math, economics, quantitative social sciences or related and one year of related work experience.
• Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.

Additional Qualifications:

• Proven interest and some experience in GBD or forecasting modeling areas, and the related data sources and scientific underpinnings.
• Strong analytic, critical thinking, and quantitative skills.
• Ability to professionally and effectively communicate and work with other staff at all levels in order to achieve team goals for the analyses and related outputs.
• 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.
• Working ability with at least one statistical programming language (e.g., R, Python).
• Excellent communication skills, both oral and written.
• 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.

Desired Qualifications:

• Track record of success in co-authorship on scientific papers, presenting results, and representing research at meetings.
• Knowledge of machine learning, data mining, and analytic techniques.

Conditions of Employment:

• Weekend and evening work sometimes required.
• This position is open to anyone authorized to work in the US.
• Working internationally is only allowed for IHME sponsored work that requires in -country participation.
• Office is located in Seattle, Washington. This position is eligible to work fully remote in the US; work schedule required to overlap 100% of IHME office hours, between 8 a.m. and 6 p.m. Pacific Time as agreed upon between employee and supervisor.
• This position currently has funding through the end of December 2026.

Please see a benefits summary here: https://hr.uw.edu/benefits/orientation/summaries/academic-professional-staff-contract-covered-exempt-librarians/.