The Computational Biology Group at the Department of Biosystems Science and Engineering of ETH Zurich in Basel develops mathematical and statistical models and efficient algorithms for analyzing high-throughput molecular profiling data. We are particularly interested in evolutionary dynamics, including genomic and transcriptomic variation in viruses and tumors. Applications are invited for a position as a postdoctoral researcher.
The open position is in the field of computational oncology and utilizing single-cell sequencing to understand tumor evolution. The goal is to develop statistical methods and models to analyze single-cell cancer genomics data; in particular to integrate different data sources to create the most detailed snapshot of each tumor. A further aim is to use this information to predict progression and treatment options with efficient computational tools to support clinical diagnostics.
Our research group is in the Department of Biosystems Science and Engineering of ETH Zurich, a major research university offering an excellent environment for innovative and collaborative research. The department is located in Basel, a European hot-spot for biomedical research, in close proximity of several academic research institutes and the pharmaceutical and biotech industry. We are also part of the Swiss Institute of Bioinformatics, a major provider of bioinformatics services and resources.
Successful applicants have a strong quantitative background in computational biology, statistics, computer science, physics, mathematics, or a related field. They possess experience in modeling biological systems, in developing software for their analysis, and a portfolio of interdisciplinary research. Candidates are expected to further foster collaborations with computational biologists and clinicians.
We look forward to receiving your online application including a letter of motivation, CV, diplomas, evidence of developed software, and contact details of at least 2 referees at apply.refline.ch/845721/6245/pub/1/index.html. Please address your application to Mr. Roland Munz, Human Resources. 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 please visit our website at www.cbg.ethz.ch. Questions regarding the position should be directed to Prof. Dr. Niko Beerenwinkel and Dr. Jack Kuipers (by email: niko.beerenwinkel@bsse.ethz.ch; jack.kuipers@bsse.ethz.ch).