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The laboratories of Genome Biology (Prof. Jacob Corn) and Metabolic Diseases (Prof. Markus Stoffel) are seeking a Bioinformatics specialist (100%, split 50/50 between the labs). This position is not tied to a specific project, but is instead aimed at general bioinformatics support for two laboratories. There are professional bioinformaticians already working in each lab, and the wet lab members of each lab are savvy in quantitative analysis. So there will be many chances for advanced collaboration and participation in a robust computational biology community.

You will primarily report to Professors Jacob Corn and Markus Stoffel, heads of the Genome Biology and Metabolic Disease groups at ETH Zurich and work within a network of local, national and international collaborators. We are located on neighbouring floors of the IMHS building and our groups are regularly in contact with one another.

Furthermore, you will be a highly collaborative, self-motivated Bioinformatics specialist with deep expertise in modern next-generation sequencing output and analysis. You will provide expertise in computational genomics for the analysis of next-gen sequencing data and its integration with public databases such as TCGA, CCLE, and ENCODE.  In addition, you provide consultation to researchers to design experiments, perform data analysis, and troubleshooting. You will use computational infrastructure and software packages, including workstations, high-performance computing clusters, and cloud/national infrastructure platforms. Moreover, you will also work as part of a team to draft manuscripts and prepare presentations.

A PhD or equivalent degree in Bioinformatics, Molecular Biology, Statistics, Computer Science or a related field is required.

You must have experience working with next-generation sequencing data. For example gene expression, single-cell sequencing, alternative/differential splicing, RNA binding protein networks, functional genomics screening, quantification of alleles from amplicon sequencing, lineage barcoding, single-cell and bulk RNA-Seq, ChIP-seq, high-throughput sequence analysis, genome variant analysis. This position entails extensive collaborative work with wet-lab researchers. You bring along experience working with a subset of standard bioinformatics, statistics, and analytical tools and sufficient knowledge of UNIX/Linux to manage your working environment and interact with system administrators and support staff. Other required qualifications are advanced skills in scripting or programming languages, preferably Python, and the ability to communicate effectively in a highly diverse, cross-disciplinary environment.

Preferred Qualifications are experience in analyzing genome editing experiments, genomic data exploration, visualization, and figure preparation for publications, ability to complete and describe projects, demonstrated for example by journal articles and/or preprints and as well software/pipeline creation and maintenance, version control, reproducible workflows. You will be a highly collaborative, self-motivated researcher with deep expertise in modern next-generation sequencing output and analysis.

The position is located at the Institute of Molecular Health Sciences at the Hönggerberg Campus of ETH Zurich, a world-leading institution in basic and applied research. We offer a state-of-the-art work environment, including advanced computational clusters, multiple well-equipped and staffed core facilities, collegial colleagues, and opportunities for dynamic and creative work.