The Institute of Molecular Systems Biology (IMSB) is in the Department of Biology at the ETH Zurich. The research groups at IMSB share the same mission: we all work to develop, apply and teach the science of Systems Biology. The laboratory of Dr. Nicola Zamboni invites applications for a
Postdoctoral position in high-throughput metabolomics
The research group investigates cellular metabolism, and is particularly attracted by problems of biomedical relevance and are difficult to address because complex or technically challenging. To tackle such problems, the lab resorts to a large portfolio of methods including cutting-edge mass spectrometry (i.e. metabolomics and 13C flux analysis) and computational biology. The group has a long standing experience in developing such methods and applying them to a broad range of biological systems and questions. A key technology is high-throughput, non-targeted metabolomics. The lab has become very efficient in analyzing cohorts of any size between 100 and >30'000 samples. The challenge is now to invent and implement procedures to obtain long-term reproduciblity and inter-lab comparability of non-targeted runs. On a long run, these will enable longitudinal and multi-site studies, both of which are essential pillars of precision and personalized health.
The Zamboni lab at Campus ETH Hönggerberg is seeking for a postdoctoral fellow to lead this effort. The candidate is expected to plan and conduct MS analyses on a variety of platforms. Extensive experience with non-targeted metabolomics using high-resolution LC-MS instruments (i.e. Orbitraps) is essential. Further, the project requires deep knowledge of cheminformatics analysis workflows for non-targeted metabolomics. Ultimately, the goal is to improve the usability and power of non-targeted metabolomics in a biomedical settings. These aspects can only be tested and developed in cooperation with our numerous collaborators from clinics and basic research labs. A substantial part of the work will be devoted in supporting our partners with data, ideas, interpretation, and know-how. This requires communication skills, organization, broad interest in applications, and thoughtfulness.