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.

Be You.

The Duke Transdisciplinary Otolaryngology Research, Community Health and Equity (TORCHE) Lab is seeking a Postdoctoral Research Associate to join an innovative, transdisciplinary research team focused on cancer population health, health disparities, causal inference, and real-world evidence. You will play a major role in the NIH-funded AMEND (Ascertaining Multilevel Drivers of Head and Neck Cancer Disparities) R01 study, collaborating with investigators from Duke, Stanford, UNC, University of Maryland, Jefferson, and Des Moines University.

This role offers the opportunity to work with national longitudinal datasets including SEER-Medicare, SEER-Medicaid, claims data, cancer registry data, and EHR-derived cohorts to advance cancer equity and improve outcomes for patients with head and neck cancer.

Minimum Requirements

• Doctoral degree in Epidemiology, Biostatistics, Public Health, Population Health Sciences, Health Services Research, Data Science, Cancer Prevention/Control, Quantitative Social Science, or a closely related field.
• Strong understanding of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities research.
• Experience analyzing large secondary datasets, claims data, registry data, EHR data, or other real-world data sources.
• Proficiency in R, SAS, Python, Stata, or similar analytic software.
• Demonstrated experience contributing to manuscripts, scientific abstracts, reports, or grant applications.

Preferred Qualifications

• Experience in cancer epidemiology, cancer population science, survivorship, oncology outcomes, health services research, or cancer prevention and control.
• Experience working with SEER-Medicare, SEER-Medicaid, Medicare/Medicaid claims, PCORnet, Epic Cosmos, Flatiron Health, TriNetX, or similar oncology datasets.