Junior Chair – Assistant Professor Level in Artificial Intelligence for Drug Discovery
Core
Establish an independent AI-driven research program to accelerate mechanistic understanding, target identification, and therapeutic development for fibrosis and cancer.
Role type
Principal Investigator (Assistant Professor level, tenure track)
Builds
AI-driven translational research programs
Domain
Oncology, liver disease, fibrosis, Artificial Intelligence
Deliverable
research
Required skills
AI-based analytical methods, bioinformatics, cancer biology, independent research leadership
Preferred skills
wet-lab collaboration, medical doctor background
Technologies
next generation single-cell RNASeq, spatial transcriptomics, high-performance computing clusters
Responsibilities
Develop innovative research program leveraging AI and computational approaches, lead independent research in fibrosis and cancer, collaborate with wet-lab and bioinformatics teams
Seniority
Mid-career (max. 10 years after PhD or MD-PhD)