Research Assistant Professor of Biostatistics

University of Pennsylvania; Philadelphia (Philadelphia County); On-site; USD 70,000 - 100,000; Full time

Job summary

A leading academic institution is seeking an Assistant Professor for their Department of Biostatistics and Epidemiology. This non-tenure research track position requires expertise in biostatistics methods and AI/ML models for oncology research. Responsibilities include conducting collaborative research, developing biostatistical methods, and securing funding. Ideal candidates will have a Ph.D. and experience in clinical data applications. A vibrant research environment with elite collaborators awaits you.

Qualifications

• Expertise in biostatistics methods and AI/ML models for clinical trials.
• Experience with collaborative research projects.
• Aptitude for developing reproducible research pipelines.

Responsibilities

• Conduct research in collaboration with standing faculty members.
• Develop and evaluate biostatistics methods for real-world data.
• Attract and maintain extramural funding.

Skills

Statistical programming (R, Python)

Peer-reviewed publications

Collaboration with biomedical researchers

Strong communication skills

Education

Ph.D. or equivalent degree

Tools

Overleaf/LaTeX

GitHub

Job description

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)’s 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.

Additional qualifications include:

• 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

The University of Pennsylvania is a vibrant team‑science‑oriented environment with elite biomedical research collaborators that is ideal for biostatistical collaboration and application‑driven methodological research. The Division of Biostatistics includes over 30 full‑time faculty with diverse expertise spanning numerous methodological and biomedical areas, and we have strong, highly ranked, and growing MS and PhD programs in which we train the next generation of innovative quantitative leaders. The placement of Biostatistics in the Perelman School of Medicine with world‑class medical, biological, and population scientists, as part of an integrated campus including the Wharton School of Business, School of Arts and Sciences, and the School of Engineering and Applied Science and other premier biomedical research institutions including the Children’s Hospital of Philadelphia provides the ideal setting for cross‑disciplinary collaboration and impactful quantitative research.

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.