What are the responsibilities and job description for the Research Assistant Professor of Biostatistics position at University of Pennsylvania Perelman School of Medicine?
University of Pennsylvania: Perelman School of Medicine: Perelman School of Medicine - Department of Biostatistics, Epidemiology and Informatics
Location
Philadelphia, PA
Open Date
Feb 27, 2026
Deadline
Feb 27, 2028 at 11:59 PM Eastern Time
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: 1) Expertise in statistical and ML programming (R, Python); 2) Demonstrated ability to lead peer-reviewed publications and support multi-site collaborative research projects; 3) Experience in collaborating with biomedical researchers, particularly physician-scientists; 4) Demonstrated aptitude working with state-of-the-art computing infrastructure, Overleaf/LaTeX, GitHub, and supporting reproducible research pipelines; and 5) 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.
Location
Philadelphia, PA
Open Date
Feb 27, 2026
Deadline
Feb 27, 2028 at 11:59 PM Eastern Time
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: 1) Expertise in statistical and ML programming (R, Python); 2) Demonstrated ability to lead peer-reviewed publications and support multi-site collaborative research projects; 3) Experience in collaborating with biomedical researchers, particularly physician-scientists; 4) Demonstrated aptitude working with state-of-the-art computing infrastructure, Overleaf/LaTeX, GitHub, and supporting reproducible research pipelines; and 5) 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.