• develop a machine learning algorithm for predicting drug responses in clinics
• identify and utilize alternative splicing changes in cancer
• explore cancer genomics, transcriptomics, proteomics and epigenetics data
• help teaching bioinformatics topics
• assist in the preparation and submission of grant proposals and publications

• PhD in Bioinformatics, Computational Biology or equivalent
• practical knowledge in machine learning and cancer genomics
• excellent verbal and written communication skills in English, German would be a plus
• highly motivated, seeking independence
• team player

The FHNW School of Life Sciences offers state-of-the-art technical, laboratory and office facilities. Contributing to the school’s highly motivating working environment – which is second to none – are its collaboration with a large number of companies and institutions in Switzerland and abroad, a widely varied programme of scientific events, and daily contact with young students in research and teaching. The FHNW is also committed to equal opportunities and the compatibility of private and professional life.

Wide range of university sports

Cultural programme of lectures, concerts, theatre and films

Established implementation of equal pay

Targeted promotion of doctoral projects

Annual working time (42 hours/week) with the option of part-time and teleworking

Mentoring programme for career development