Research Assistant III Non-Lab; Research Project and Data Assistant

Company Description

By working at Harvard University, you join a vibrant community that advances Harvard's world‑changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.

Why join the Harvard T.H. Chan School of Public Health?

The Harvard T.H. Chan School of Public Health is a world‑renowned institution dedicated to advancing public health through cutting‑edge research, education, and global collaboration. Our school is a special place to work because of its vibrant, mission‑driven community, interdisciplinary approach, and commitment to addressing some of the most pressing health challenges worldwide. We foster a collaborative and inclusive work environment where innovation, continuous learning, and work‑life balance are valued.

Learn more about the School’s mission, objectives, and core values, our Principles of Citizenship, and about the Dean’s AAA vision about our school’s ongoing strategic initiatives.

Job Summary:

The Department of Health Policy and Management (HPM) is committed to training and inspiring the next generation of health care leaders. Our students and faculty are passionate about making the world a better place by improving health and health care. We work on compelling and important problems, from making the delivery of care safer and more efficient, to expanding health insurance coverage and eliminating disparities, to designing and improving the performance of entire health systems.

We are seeking a full‑time RA based in the Boston area starting in the fall of 2025 to support research work regarding health policy, with particular emphasis on recent and ongoing policy changes related to health insurance coverage, Medicaid, and the Affordable Care Act. The position is primarily in‑person, with an option to telework up to 2 days a week. The position is anticipated to last at least twelve months, with the possibility of renewal.

The successful candidate will be able to work autonomously, while performing high‑level statistical programming, data compilation and cleaning, in addition to other research related duties.

Job‑Specific Responsibilities:

• Support and conduct quantitative analyses of administrative and survey data using statistical programming languages (i.e.: Stata preferred but not required), including data cleaning and assessments of data quality
• Perform logical and thorough literature searches
• Provide relevant meeting support (e.g., logistics, supporting materials, notes)
• Obtain and organize information on health policy change over time from state and federal websites
• Assist in the preparation of peer‑reviewed manuscripts for submission and publication
• Assist in the preparation of data use agreements, IRB applications, study protocols, and other administrative tasks relevant to research
• Make periodic reports to supervisor and other research team personnel
• Attend regular meetings and check‑ins with supervisor and other research team personnel
• Producing charts and tables for manuscripts and presentations
• Assisting with grant reporting and developing & communicating submission timelines
• Supporting journal submission and revision processes
• Other duties as assigned

PLEASE NOTE:

This position has a term appointment of one year from date of hire with the possibility of extension. Finalist will be required to complete a programming skills assessment.

Basic Qualifications:

• 2+ years of relevant experience is required; a combination of education and experience may be considered
• Experience using statistical software such as STATA (preferred) or R is required

Additional

Qualifications and Skills:

• Bachelor’s Degree, preferably in a health or social science discipline, including quantitative and statistical coursework
• Experience with federal or state health policy, especially in the area of health insurance and Medicaid
• Experience programming in STATA
• Knowledge of standard research methods and statistical techniques, including multivariate regression and causal inference methods
• Attention to detail, organized, strong written and verbal…