Tenure-Track Faculty Position in Population Science, in the SKCCC and Department of Medical Oncology (Open Rank) Thomas Jefferson University

About the role

The Sidney Kimmel Comprehensive Cancer Center (SKCCC) and the Department of Medical Oncology at Thomas Jefferson University (TJU) in Philadelphia, Pennsylvania is announcing a tenure-track faculty position (open‑rank) in SKCCC and the Division of Population Science in the Department of Medical Oncology. Number of positions: 1.

Inquiries and expressions of interest should be directed to: Hoda Badr, PhD, Associate Director, Population Science, SKCCC, Director, Division of Population Science, Department of Medical Oncology, Hoda.Badr@Jefferson.edu; Steven Dawson, Director of Clinical Operations, Department of Medical Oncology, Steven.Dawson@Jefferson.edu.

Responsibilities

• Establish/Sustain an independent, externally funded research program in population science aligned with the strategic priorities of SKCCC and the Department of Medical Oncology.
• Publish high‑impact, peer‑reviewed scholarship that advances cancer prevention, treatment, survivorship, and outcomes research.
• Contribute to multidisciplinary research initiatives that span basic, clinical, translational, and population science domains across Thomas Jefferson University, Jefferson Health, and Drexel University.
• Mentor graduate students, postdoctoral fellows, and junior faculty in population science and related disciplines, consistent with academic rank.

Requirements

Areas of focus / expertise desired (consistent with the Division’s strategic priorities):

• Advanced methodological expertise enabling rigorous, multilevel, data‑driven research that integrates behavioral, clinical, social, environmental, and system‑level factors. Priority areas include one or more of: implementation science, health economics, geospatial analytics, advanced quantitative methods, and related approaches that strengthen the design, evaluation, and scalability of complex interventions across the cancer continuum.
• Data‑intensive population science expertise, including clinical epidemiology, computational epidemiology, population informatics, or related fields that leverage electronic health records, enterprise data systems, cancer registries, geospatial data, and other real‑world data sources. Such expertise supports the characterization of cancer risk, identification of disparities, construction of representative cohorts, and advancement of data infrastructure for precision‑informed population health research.
• Cancer control research focused on survivorship, spanning from the point of diagnosis across the remainder of the individual’s life course. Emphasis is placed on population‑based and implementation‑oriented approaches to understanding health and quality‑of‑life