Darden Research Assistant in Healthcare Data Management [Student Wage] (Remote)

Dr. Elena Loutskina is looking for a data scientist/data analyst with a genuine interest in the healthcare research and analytics.
The main role is to conduct exploratory data analysis using Virginia’s All-Payer Claims Database (APCD). The APCD brings together medical claims, pharmacy claims, and enrollment data from Medicare, Medicaid, and many commercial health plans in Virginia. This dataset provides a valuable resource for studying healthcare use, spending, and coverage across the state.
Primary Responsibilities:
Responsibilities may include:
Cleaning and organizing data.
Conducting exploratory analyses and identifying patterns.
Preparing tables and visualizations to support research.
Skills and Abilities:
Strong attention to detail.
Strong analytical skills.
Able to work independently while balancing multiple projects.
Willing to attack a problem from different angles when the first approach does not work.
proficient in Python, SQL, and AI coding tools such as Codex or Claude Code.
Positions are open to students in business, accounting, economics, social sciences, humanities, data science, statistics, mathematics, or other disciplines with strong analytical skills. Preference will be given to students pursuing a graduate degree and who demonstrate an interest in healthcare research.
Hourly pay rate depends on level of education. Students pursing a:
4-year degree: $17/hour
MA Degree: $22/hour
Ph.D. Degree (post-MA phase): $25/hour
Position is remote, but student must physically reside in the United States. This position is ONLY open to UVA students.
Please include a resume and cover letter with your application.
MINIMUM REQUIREMENTS:
Resume and Cover Letter required.
Education: Current UVA student
Experience: None
Licensure: None
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment.

Skills
Python, SQL, Data Analysis, Accounting