LAB RESEARCH ANALYST II

School of Medicine

Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations.

Dr Wharam’s Team (Division of General Internal Medicine)

We are a health policy analytics research team at Duke University. We evaluate natural experiments in health policy, benefit design/out‑of‑pocket costs, and health insurance using large administrative claims. Our projects span methods such as difference‑in‑differences, panel data models / controlled interrupted time series/ segmented regression, and survival analysis. We use robust data engineering processes to create analyzable cohorts from raw claims.

The Programmer/ Analyst will serve as a SAS‑forward Programmer/Analyst (Stata helpful) who can turn raw claims into analytic datasets and contribute to study design, analysis, and manuscripts in collaboration with faculty investigators, a Research Scientist, project managers, and external partners.

Important duties include:

• Build and maintain SAS workflows that import, clean, and organize claims data; run quality checks; and keep clear documentation (Base/Macro/SQL; PROC FREQ/MEANS/SUMMARY; formats).  Construct analytic cohorts from Medicaid, Medicare, or commercial claims; map ICD‑10‑CM, CPT/HCPCS, DRG, NDC, revenue codes; derive episodes and utilization/cost measures.
• Implement study designs and analytic approaches (e.g., DiD, interrupted time series, matching/weighting, panel/fixed effects); run analyses in SAS and, where useful, Stata.
• Serves as contributing author for protocols, reports, and manuscripts.

Preferences for the ideal candidate:

• Strong SAS programming skills (Stata experience also beneficial)
• Master’s degree level familiarity with statistical analysis, preferably in large health insurance claims datasets
• Familiarity with the research process, from data acquisition and cleaning to statistical analysis to manuscript preparation
• Capable of conducting high-quality SAS programming