The computational cancer biology lab of Martin Schaefer is seeking a highly motivated and talented postdoctoral researcher. The postdoc will develop and apply network-based methods to identify cancer driver events from genomic and epigenomic data.
Cancer is driven by alterations on all molecular levels. However, while our knowledge about the contribution of point mutations to the phenotypic hallmarks of cancer has advanced substantially over the last decade, we still need to solve the puzzle of how the numerous quantitative changes (eg epigenetic or transcriptional) and copy number alterations of larger genomic regions are related to cancer initiation and progression.
Candidates should hold a PhD (in a relevant area), have expertise in statistics, programming, and the analysis of cancer omics data. Interest in network biology and knowledge of data science techniques such as machine learning and being familiar with concepts of tumor evolution are a plus.
A competitive salary will be paid based on the qualification of the applicant.
More details on the position and our lab can be found on our homepage: schaeferlab.org
The position is available immediately but the starting date can be negotiated.