AI/ML Biostatistics Research Professor – Oncology Trials

University of Pennsylvania; Philadelphia (Philadelphia County); In loco; USD 80.000 - 120.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Statistical programming (R, Python)

Leading peer-reviewed publications

Collaborating with biomedical researchers

Usage of computing infrastructure and tools (Overleaf, GitHub)

Strong communication skills

Formazione

Ph.D. or equivalent degree

Descrizione del lavoro

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.