Research Programmer​/Analyst II

The Research Programmer/Analyst II will join The Dartmouth Institute's Center on Health Economics and Policy team using large claims datasets, surveys, and electronic health record data to study how patients use and pay for health care. We seek applicants with experience working with large datasets to join a team implementing economic analyses to inform policy‑relevant research.

At The Dartmouth Institute for Health Policy & Clinical Practice (TDI), we are not just a workplace. We are a community dedicated to improving population health, reducing health disparities, and creating high‑performing, sustainable health systems. For over 30 years, we have been at the forefront of health and healthcare, making a tangible difference in people's lives.

TDI is a collaborative hub of passionate professionals who are experts in various healthcare fields. We work hand in hand with local, state, and national partners, pooling our expertise and resources to develop and implement strategies that address the most pressing health issues facing our community. From preventive care and health education to research and policy advocacy, our multifaceted approach ensures we are making a significant impact.

We pride ourselves on our inclusive and supportive work environment, where every team member's contribution is valued. By fostering a culture of continuous learning and professional growth, we empower our employees to achieve their full potential and drive positive change.

Join us at TDI and be part of a dynamic team making a real difference in public health. Together, we can build a healthier future for all.

To support research programming and analytic activities for principal investigators and their project teams at The Dartmouth Institute using administrative claims datasets and other supporting data that will eventually lead to the publication of health services and economics research work, presentations, and grant proposals.

• Programming/Analytics: (60%) Under the direction of the research project team, identifies appropriate data sources, extracts, merges, transforms, and manipulates dataset structure for optimum analytic structure following programming/analytic specifications.
• Technical Documentation: (15%) Using GIT ensures consistent source code documentation with logical comments, naming conventions, structure, and organization.
• Summarizes and delivers results of data linkage activities to the research team(s) in readable, presentation‑ready reports, including inclusion/exclusion criteria applied to extracted/combined datasets, flowcharting datasets used to develop extracts, and other requested summaries. (15%)
• Communicates proactively, obtaining agreement with the research team on any and all data/research method decisions before implementation and tracking consistently within technical documentation. (5%)
• May participate in preparing written grant proposals, research reports, scientific presentations, and published articles. (5%)
• Demonstrates professionalism and collegiality through actions, interactions, and communications with others appropriate to an environment that is welcoming to all.
• Performs other duties as assigned.

• Bachelor's degree in Public Health, Economics, Computer Science, Engineering, Statistics, or a related field.
• 3‑5 years of experience in programming/analytics or equivalent combination of education and experience.
• Demonstrated experience writing algorithms and implementing statistical methods on structured data.
• Professional experience with SAS, R, and STATA statistical software.
• Experience with medical claims datasets.

• Master's degree preferred.
• Two years of experience in a research setting.
• Two years of experience in a technical leadership or mentorship role.
• Experience working with medical claims data in CMS's Virtual Research Data Center (VRDC).
• Experience with Python, Java, or similar.
• Knowledge of data mining and predictive analytics with machine learning.

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