Tenure-Track Open-Rank Faculty Position in Cancer Population Science

What you'll do

• Lead and sustain an investigator-initiated research program with peer-reviewed extramural funding as PI or MPI.
• Publish impactful research and develop collaborations across clinical, translational, community-engaged, and other cancer research areas.
• Mentor students, fellows, and junior investigators, consistent with academic rank.

What they ask for

• Doctoral degree in a relevant discipline.
• Record of rigorous cancer-focused research appropriate to academic rank.
• Assistant Professor candidates: evidence of research independence and trajectory toward sustained investigator-initiated extramural funding; Associate Professor or Professor candidates: established independently funded program and strong PI or MPI record on peer-reviewed extramural awards.

Nice to have

• Research focus in cancer survivorship, cancer care delivery and implementation, population-based cancer epidemiology, or related cancer prevention and control areas.
• Methodological capabilities such as implementation science, health economics, causal inference, trials, real-world and population data, natural language processing, artificial intelligence and machine learning, or digital health.

Tools

electronic health records, claims, cancer registries, longitudinal cohorts, linked datasets, natural language processing, artificial intelligence, machine learning

AI focus

AI and machine learning are among the methodological capabilities of interest for cancer population science research.