The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington. 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, Injuries, and Risk Factors; Future Health Scenarios; Costs and Cost Effectiveness; Resource Tracking; and Impact Evaluations. Our vision is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base so all people live long lives in full health.
IHME is committed to providing the evidence base necessary to help solve the world’s most important health problems. This requires creativity and innovation, which are cultivated by an inclusive, diverse, and equitable environment that respects and appreciates differences, embraces collaboration, and invites the voices of all IHME team members.
IHME has an excellent opportunity for a Researcher to join our Resource Tracking US Health Spending team. Across IHME, researchers analyze and produce key estimates for their assigned research team and will focus on using data from household and administrative surveys, insurance claims data, published literature, registries, and administrative records. Using established modeling tools and through creation of novel code, researchers incorporate relevant data to produce the most up-to-date and scientifically credible results. Researchers are integrally involved in producing, critiquing, improving, and disseminating results. In addition, researchers work closely with senior research leads and external collaborators and take part in the intellectual exchange about how to improve upon and disseminate the results. Through this, Researchers are expected to interact successfully with a wide range of internal and some external partners, and to describe complex concepts and materials concisely. Overall, the Researcher will be a critical member of an agile, dynamic research team.
The Resource Tracking US Spending research team develops research intended to describe and assess health care spending in the US. Previous research from this team has been published in a wide set of journals, presented around the globe, and offered online through an interactive visualization. The research produced by this team will be extended to better understand social and ethnic disparities in health spending and trends at the local level within the US, allowing policymakers, funders, and the health system at large to better address these disparities in pursuit of higher and more equitable population health. The research is policy-relevant, with the team at a unique moment of expansion in scope. The team’s Researcher will work closely with the faculty lead, researchers, a team of data analysts and data services specialists, and researchers on the Central Computation and Clinical Informatics research teams. This position is contingent on project funding, which currently exists for two years with hopes for extension.
- Develop a core understanding of input data used by the team and the quantitative methods used to harmonize and combine data from a wide variety of data sources, with a focus on estimating economic indicators including gross domestic product, general government expenditure, domestic health spending, total health expenditure, poverty, and forecasting these indicators.
- Carry out quantitative analyses and statistical modeling to produce results designated on a given timeline as part of the US Disease Expenditure by Race and Ethnicity project.
- Evaluate and build upon existing code and statistical processes used to forecast health care spending and economic activity.
- Under the guidance of faculty, carry out extensive quantitative analyses and statistical modeling to produce results designated on a given timeline as part of the Economic Indicators sub-team’s 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 creation of presentations, manuscripts, and funding proposals. Co-author paper(s).
- Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques.
- Other duties as assigned that fall within reasonable scope of research team.
As a UW employee, you will enjoy generous benefits and work/life programs. For a complete description of our benefits for this position, please visit our website, click here.
- Master’s degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus 1 year related experience.
- Proven interest and some experience using cutting-edge quantitative analyses to impact policy and improve health.
- 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.
- Demonstrated success in implementing complex analytic code in R or Python.
- Excellent communication skills, both oral and written.
- Ability to work both independently and in collaboration with a team.
- Eagerness to learn and contribute to important health economics research.
- A long-term interest in a research scientist position contributing to the overall mission of our research.
A commitment to working to alongside others at IHME to illuminate the health impacts of systemic racism and to work within IHME to make our organization more diverse and inclusive. See IHME’s DEI statement here: http://www.healthdata.org/get-involved/careers/dei.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
- Master’s degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus 4 years’ related experience, or equivalent combination of education and experience.
- Track record of success working with a team, completing complex quantitative analysis, and providing written, graphical, and oral explanation of this research.
- Expertise in research using at least two statistical programming languages, R and Python.
CONDITIONS OF EMPLOYMENT
- Weekend and evening work sometimes required.
- This position is open to anyone authorized to work in the U.S. The UW is not able to sponsor visas for staff positions.
- The University of Washington requires students and personnel to be vaccinated against COVID-19. Under state regulations, individuals who are not fully vaccinated are required to wear masks while in all UW buildings and facilities. To learn more about the requirements, please review the following: https://www.washington.edu/coronavirus/vaccination-requirement/.
- Office is located in Seattle, Washington. This position is eligible to work fully remote in the U.S.; work schedule required to overlap 50% of IHME office hours, between 8 a.m. and 6 p.m. Pacific Time.
The application process for UW positions may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Workforce Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select “Apply to this position”. Once you begin an assessment, it must be completed at that time; if you do not complete the assessment you will be prompted to do so the next time you access your “My Jobs” page. If you select to take it later, it will appear on your “My Jobs” page to take when you are ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.