Software Engineer

The Biomedical Informatics Group of Prof. Dr. Gunnar Rätsch, Department of Computer Science, Institute for Machine Learning at the ETH Zürich is looking to hire per September 2016 or per mutual agreement a

Software Engineer, Generalist (100%)

The interdisciplinary research group develops and applies advanced methodology to mine large volumes of molecular and clinical data to understand and model mechanisms of molecular processes, diseases and treatments. Currently, this includes: a) mining large cancer genomics data sets for new cancer-specific isoforms and mutations that influence RNA splicing, b) developing methodology for summarizing electronic health records and the state of patients, c) performing association studies to connect molecular and clinical phenotypes with genetic mutations, d) work in international teams to improve data sharing in order to advance biomedical research. The main responsibilities of the Software Engineer will be to: a) work with an international team to develop http://brcaexchange.org, b) work with graduate students and postdocs in the group to develop software for machine learning, bioinformatics, and medical informatics (all open source, see https://github.com/ratschlab), and c) maintain software installations on a high performance compute cluster as well as web services and data resources in the lab.

Successful candidates will have a first degree (or Bachelor’s Degree) in Computer Science, Computational Biology, Medical Informatics or a related field and ideally 1-2 years programming experience in a variety of languages including Python and C/C++. Required experience in at least one of: scientific programming (Python, MATLAB or R),  computational genomics, or distributed databases. An interest in mastering the others and flexibility is essential. The position offers ample opportunities for contributing to the research in the group and co-authorships of peer-reviewed publications. Successful candidates will show a strong work ethic and be enthusiastic about working in a highly interdisciplinary environment working with computer scientists and computational biologists. Open Source is important to us, and candidates should be au fait with the basics of open source licensing. Excellent communication skills (written and verbal) in English are essential.

For further information please contact Sabrina Nepozitek, administrative assistant to Gunnar Rätsch, at Sabrina.Nepozitek@inf.ethz.ch (no application documents) and visit our website.

We are looking forward to receiving your online application. Please submit your application until September 17, 2016 via the application portal with attention to: ETH Zürich, Human Resources, Mrs. Nadja Lang, CH-8092 Zürich, Switzerland.

We are looking forward to receiving your online application. Please submit your application until September 17, 2016 via the application portal with attention to: ETH Zürich, Human Resources, Mrs. Nadja Lang, CH-8092 Zürich, Switzerland.

Applications via e-mail cannot be considered!