Assistant Professorship (non-tenure track) in Clinical Cancer Informatics Werner and Hedy Berger-Janser Foundation Endowed Professorship
Core
Lead an innovative research program in clinical cancer informatics, integrating heterogeneous clinical data sources with AI to develop decision-support tools for oncology.
Role type
Assistant Professor (non-tenure track) in Clinical Cancer Informatics
Builds
AI-based decision-support tools, harmonized clinical data standards, and translational research outputs
Domain
Oncology + Clinical Informatics + Artificial Intelligence
Deliverable
production ML models
Required skills
Clinical informatics, data interoperability, standardization, data science, AI development, grant acquisition, team leadership
Preferred skills
Real-world medical data experience, translational research focus
Technologies
AI frameworks, clinical data integration platforms
Responsibilities
Develop and lead research program in clinical cancer informatics; Integrate heterogeneous clinical data sources; Contribute to AI-based decision-support tools; Acquire third-party funding; Supervise early-career researchers
Seniority
Assistant Professor, research-focused IC
