Biostatistics – Associate or Full Professor, Tenure Track or Clinician-Educator

Location: Philadelphia, PA. Open Sep 24, 2024; deadline Sep 24, 2026.

About the role

The Department of Biostatistics, Epidemiology and Informatics (DBEI) at the Perelman School of Medicine, University of Pennsylvania, is seeking candidates for Associate or Full Professor positions on either the non‑tenure clinician educator track or the tenure track. The role centers on biostatistical methods development and applications, with opportunities to contribute to teaching, mentoring, and collaborative biomedical research across the university’s extensive resources.

Responsibilities

• Participate in biostatistics PhD and MS training programs and teach biostatistics courses in epidemiology, health policy, and related biomedical programs.
• Develop innovative statistical methodology and serve as a statistical leader for collaborative research studies.
• Mentor trainees and junior faculty, fostering a strong commitment to teaching and scholarly growth.

Requirements

• Ph.D. or equivalent degree.
• Demonstrated experience as Principal Investigator of methodological research supported by extramural grant funding.
• Established track record in biostatistical methods development and the ability to emerge as a research leader in a specialized area.

Qualifications

• Expertise in biostatistical methods development and applications.
• Tenure‑track candidates: primary focus on innovative, leading‑edge statistical methodology with secondary emphasis on collaborative research projects within the Perelman School of Medicine.
• Clinician‑educator candidates: outstanding productivity in collaborative research, complemented by some methodological research.

Skills

• Experience and/or interest in cancer clinical trials, pediatric research, the interface of biostatistics and artificial intelligence, and causal inference.
• Strong commitment to teaching and mentoring.
• Ability to thrive in a vibrant, team‑science environment and engage in cross‑disciplinary collaboration with world‑class biomedical, biological, population, and quantitative scientists.