Career Opportunities in the Biomedical Informatics Group
The Biomedical Informatics Group is headed by Gunnar Rätsch, an internationally renowned specialist in machine learning, medical, and bioinformatics. 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) analyzing 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 patients and c) performing association studies to connect molecular and clinical phenotypes with mutations. For more information about our research, check out our research summary and publications. The group recently moved from Memorial Sloan Kettering Cancer Center in New York, USA, and joined the Department of Computer Science at ETH Zürich.
The Biomedical Informatics Group welcomes applications for:
Software Engineer (Deadline September 17th)
The main responsibilities 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 well-maintained and usable software for machine learning, bioinformatics, and medical informatics (all open source, see https://github.com/ratschlab), and c) help maintaining software installations on a high performance compute cluster as well as web services and data resources in the lab.
Research topics include: Machine Learning, large-scale genomics, medical record analysis and modeling (including text & images), transcriptome analysis & modeling (in particular splicing), statistical genetics, cancer genomics, metagenomics, longitudinal models for precision medicine.
Work on algorithms and computational analysis, in close collaboration with physicians, biologists, other computer scientists or statisticians. Collaborate with others and lead a project. Do imaginative basic science that brings advanced computational techniques into biomedical applications that matter.
We look for outstanding doctoral students from computer science and the life sciences. We accept direct applications and also participate in multiple graduate programs offered by the Life Science Zurich Graduate School of ETH Zürich and University of Zürich. We have exciting new projects on the boundaries of machine learning, medicine, and genomics. Come work in a team on projects that matter!
We have exciting new projects for master students. Please come and talk to us.
We have several positions available for student assistants. Please read the job description and apply in case you are interested.
For more information, please contact Gunnar Rätsch and use “#application” in the subject line. Please be patient while awaiting a response – we are a busy group!