We are focused on mechanisms of proteome turnover, surveillance and quality control. Working in yeast and human cells, we aim at understanding the selectivity in the ubiquitin-proteasome system and its roles in quality control of mislocalized proteins. We employ high-throughput genetic and proteomic screens in combination with cell/molecular biology and biochemical approaches, and develop new methods, to elucidate how cells identify abnormal proteins and to explore links between protein quality control, cancer and ageing.
We are looking for a highly-motivated researcher with experience in bioinformatics and statistics and with a proven track record in analysis of omics data sets. Experience with analysis of next-generation sequencing data and/or highcontent microscopy data is desired. You will join an internationally competitive research group and contribute to cutting-edge projects funded by an ERC Starting Grant. You will be responsible for analysis of a wide range of data sets, including next-generation sequencing and proteomics data, genome-wide genetic screens and deep mutational scanning.