At the Biomedical Informatics Group of Prof. Gunnar Rätsch at ETH Zurich, we are interested in advancing the fields of computational biology and medicine using modern machine learning algorithms, and developing new machine learning approaches to solve unique challenges arising from these application domains.
The group has a long history of developing machine learning and other statistical models, as well as their application to large amounts of clinical and genomic data. This means we have a unique combination of expertise that spans large scale data analysis, deep learning, optimization, and applied bioinformatics. In addition to this, we collaborate heavily with domain experts, such as biologists and clinicians, ensuring we focus on real problems with real impact.
Postdoctoral researcher with a strong background in computational genomics and cancer genomics
We are hiring a highly motivated postdoctoral researcher with a strong background in computational genomics and cancer genomics to join us in our endeavor to push the state-of-the-art in computational biology and address some of the major challenges arising in the integration and application of genomic data from cancer patients.

You will work on a collaborative project connecting different research groups and hospitals to bring cancer genomics data into clinical use. You will have the possibility to participate in translational science that brings your work directly into impactful biomedical applications.
The aim of this project is to distill actionable information from the integration of single cell data, mass spectrometry information as well as digital pathology and drug response testing data. We believe that embedding such data into existing data repositories will help to gain new insights and eventually improve patient treatment and outcome.
Interested postdoc applicants should hold a Ph.D.-level degree in computational biology or a related field, with a strong publication record in computational/cancer genomics. Ideally the candidate has previous experience in analyzing single cell or mass spec data in context of immunotherapy and cancer genomics.
We look forward to receiving your online application including a research statement, a CV and a cover letter and contact details of at least three referees until April 15, 2018. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For further information about the group please visit our website Questions regarding the position should be directed to to Natalia Marciniak, administrative assistant to Prof. Dr. Gunnar Rätsch, Natalia.Marciniak[at] (no application documents).