PhD student in Clinical Bioinformatics (100 %)

We are seeking a highly motivated PhD student in clinical bioinformatics eager to make a meaningful impact on daily diagnostic practices at leading university hospitals. The successful candidate will play a pivotal role in integrating multi-OMICs data to predict drug responses and support molecular tumor boards, directly influencing clinical decision-making and personalized cancer treatment. This interdisciplinary position offers a unique opportunity to collaborate closely with clinicians and biomedical researchers, and to develop and apply cutting-edge machine learning models that help prioritize cancer therapies. The project is funded by the SNSF (Swiss National Science Foundation) and will be carried out in collaboration with the University of Zurich and the University Hospital Zurich. The working place will be at the FHNW new Campus Muttenz, just outside Basel, Switzerland.

• develop robust machine learning algorithms to predict drug response for clinical use 
• identify and interpret alternative splicing changes relevant to cancer diagnostics and therapy
• analyze integrative genomics, transcriptomics, proteomics, and epigenetic datasets