Research Programmer/Analyst II

$66,700 - $83,400/Yr

Dartmouth College - Hanover, NH

Full-time - Mid Level

Remote - Hanover, NH

Educational Services

About the position

The Research Programmer/Analyst II at The Dartmouth Institute (TDI) for Health Policy and Clinical Practice is responsible for supporting research programming and analytic activities using administrative claims datasets and other data sources. This role involves working closely with principal investigators and project teams to conduct economic analyses that inform health services and economics research, ultimately contributing to publications, presentations, and grant proposals. The position is part of a collaborative team dedicated to improving population health and reducing health disparities through data-driven insights.

Responsibilities

• Identify appropriate data sources and extract, merge, transform, and manipulate dataset structures for optimal analytic use.
• Ensure consistent source code documentation using GIT, including logical comments and naming conventions.
• Summarize and deliver results of data linkage activities to research teams in presentation-ready reports.
• Communicate proactively with the research team to obtain agreement on data and research method decisions before implementation.
• Participate in preparing written grant proposals, research reports, scientific presentations, and published articles.

Requirements

• 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 to structured data.
• Professional experience with SAS, R, and STATA statistical software.
• Experience with medical claims datasets.

Nice-to-haves

• 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 programming languages.
• Knowledge of data mining and predictive analytics with machine learning.

Benefits

• Hybrid work eligibility
• Support for professional development and continuous learning
• Inclusive and supportive work environment