AI/ML Biostatistics Research Professor – Oncology Trials

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

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.