Research Assistant Professor of Biostatistics

University of Pennsylvania; Philadelphia (Philadelphia County); On-site; USD 80,000 - 120,000; Full time

Job summary

The University of Pennsylvania is seeking a Research Assistant Professor of Biostatistics in Philadelphia, PA. This non-tenure track position requires expertise in biostatistics methods and AI/ML models for clinical trials and real-world data, especially in oncology. Applicants must possess a Ph.D. and are encouraged to have postdoctoral training. Responsibilities include conducting collaborative research, securing funding, and joining the Abramson Cancer Center's team. Strong communication and programming skills in R and Python are essential.

Qualifications

• Expertise in statistical and ML programming (R, Python).
• Demonstrated ability to lead peer-reviewed publications.
• Experience in collaborating with biomedical researchers, particularly physician-scientists.
• Aptitude working with state-of-the-art computing infrastructure, Overleaf/LaTeX, GitHub.
• Strong communication skills.

Responsibilities

• Conduct collaborative research studies involving biostatistics methods and AI/ML models.
• Develop and evaluate biostatistics methods for clinical trials and real-world data.
• Attract and maintain extramural funding.
• Collaborate with members of the Abramson Cancer Center.

Skills

Statistical programming (R, Python)

Leading peer-reviewed publications

Collaborating with biomedical researchers

Usage of computing infrastructure and tools (Overleaf, GitHub)

Strong communication skills

Education

Ph.D. or equivalent degree

Job description

Research Assistant Professor of Biostatistics

Location: Philadelphia, PA

Open Date: Feb 27, 2026

Deadline: Feb 27, 2028 at 11:59 PM Eastern Time

The Department of Biostatistics and Epidemiology at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the non‑tenure research track. Expertise is required in the specific area of development and application of biostatistics methods and AI/ML models (particularly, generative AI and agentic AI) for clinical trials and real‑world data in oncology. Candidates with postdoctoral training are encouraged to apply. Applicants must have a Ph.D. or equivalent degree.

Research or scholarship responsibilities may include conducting research with a standing faculty member involving collaborative research studies, and the development, evaluation, or application of biostatistics methods and AI/ML models for clinical trials and real‑world data (e.g., EHR/EMR and registry data). Candidates with experience in these areas are encouraged to apply. The successful candidate will be expected to attract and maintain extramural funding.

The successful candidate will become a member of the Abramson Cancer Center (ACC) Biostatistics and Bioinformatics Core and the Center for Cancer Data Science and is expected to collaborate with ACC members. As such, prior experiences in collaboration in cancer research and analyses of cancer data are strongly preferred.

Qualifications

• Expertise in statistical and ML programming (R, Python).
• Demonstrated ability to lead peer‑reviewed publications and support multi‑site collaborative research projects.
• Experience in collaborating with biomedical researchers, particularly physician‑scientists.
• Demonstrated aptitude working with state‑of‑the‑art computing infrastructure, Overleaf/LaTeX, GitHub, and supporting reproducible research pipelines.
• Strong communication skills.

To apply, visit https://apply.interfolio.com/182061.

Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.