IHME has an excellent opportunity for a Research Scientist to join our Resource Tracking US Spending research team. We are looking for someone who will help drive quantitative health economics research. Across IHME, Research Scientists lead on research teams by contributing to research design and training and mentoring junior staff. IHME researchers analyze and produce key estimates for their research team and focus on using data from household and administrative surveys, insurance claims data, published literature, registries, and administrative records. Research Scientists are further involved in critiquing, improving, and disseminating results. Researchers must be capable of helping keep their team on track to meet deadlines and research objectives. Research Scientists should have experience with the publication process, and, at IHME, are expected to build out their portfolio with several peer-reviewed papers. We are looking for individuals who keep abreast of recent scientific, engineering, and technical advances and are able to translate these into your research.
The Resource Tracing 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 world and online through an interactive data visualization. The research produced by this team will be extended to focus on subnational geographic variation in order to gain knowledge about changes in health care spending and utilization, and spending disparities across the US. The research is tremendously policy-relevant, with the team at a unique moment of expansion in scope. The team’s Research Scientist will work closely with the faculty lead, a Researcher, 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 three years with hopes for extension.
- Capable of manipulating, exploring, combining, and assessing large claims databases, household and administrative surveys, and tabulated data used by the team for over 3,100 US counties.
- Independently carry out quantitative analyses, including econometric panel analyses and smaller area estimation methods as part of the US Disease Expenditure County-Level Analysis project. Interpret and vet results from junior staff, formulate conclusions, provide feedback, and inform team leaders.
- Develop, quality check, and distribute complex datasets to be used in epidemiological and statistical analyses.
- Develop and implement new computational and statistical methods. Create, test, and use relevant computer code in R or Python. Maintain, modify, and execute analytic machinery.
- Contribute to research design.
- Review and assess existing research on similar topics.
- Draft presentations and manuscripts, and contribute to funding proposals. Lead and co-author scientific articles in peer-reviewed journals.
- Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques.
- Oversee staff, to include hiring and training; leading workflow; priority setting; critiquing work and establishing quality standards; conducting regular performance assessments, providing mentorship and professional development for employees.
- Provide ideas and content for the development of internal trainings. Teach established trainings.
- Other duties as assigned that fall within reasonable scope of research team.
REQUIREMENTS: Master’s degree in public health, epidemiology, computer or data science, economics, statistics, quantitative social sciences, or related discipline plus four years’ related experience, or equivalent combination of education and experience.
- Proven interest and experience in health financing or US health care spending 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.
- Experience manipulating and analyzing large datasets.
- Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code.
- Demonstrated success in designing, executing, and troubleshooting complex analytic code in R and/or Python.
- 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.
- 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.
A commitment to working 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 plus six years’ related experience, or PhD in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or MD plus two years’ experience preferred.
- Expertise in research using at least two statistical programming languages, R and Python.
- Experience with database management.
- Experience with a wide range of quantitative methods.
- Experience using (public and/or private) health insurance claims data.
- Experience mentoring and developing junior employees on soft and technical skills.
- Peer-reviewed publication record.