Bioinformatics Scientist

100%, Basel, temporary

The Laboratory for Biological Engineering (Prof. Randall J Platt) of the ETH Zurich in Basel, Switzerland develops genome engineering technologies and methods – towards creating fundamentally new ways of interrogating and controlling biology – and applying them towards creating novel diagnostics and therapeutics. The track record of the group ( includes the development of: (i) a suite of genome editing methods enabling in vivo genome editing and functional genomic screening, (ii) techniques facilitating massively multiplexed genome engineering and ‘transcriptional programming’, and (iii) a platform, termed ‘transcriptional recording’, enabling gene expression to be continuously recorded at the transcriptome-wide scale and stored permanently in DNA. To advance these efforts, the Platt group is seeking a full-time (100%) Bioinformatics Scientists.

Job description

We are looking for a highly motivated and collaborative researcher to work closely with Professor Platt and be integrated in a multidisciplinary team of passionate scientists. The ideal candidate will have deep expertise in statistics and deep sequencing methods and analysis. The candidate will both develop new computational approaches for analyzing new types of ‘biological/molecular/lineage recording’ data, integration of this data with conventional data types, and provide expertise in computational genomics for the analysis of deep sequencing data related to functional genomic screens, single-cell RNA sequencing, integration with public databases, and other conventional approaches in genomics. In addition, the candidate will consult with researchers to design experiments and perform data analysis as well as contribute to the preparation of manuscripts and presentations. Opportunities for presenting and teaching as well as engagement with scientific and public audiences are available/encouraged but not required.

Your profile

The ideal candidate should have a Ph.D. or equivalent in Bioinformatics, Molecular Biology, Statistics, Computer Science or a related field. The candidate must have experience working with various types of deep sequencing data, such as those generated from functional genomic screens, single-cell RNA sequencing, ATAC/ChIP-seq, targeted amplicon sequencing, meatagenomics/transcriptomics, and lineage barcoding. The candidate must have a strong track record and interest in collaboration with experimentalists. The candidate brings along experience working with a subset of standard bioinformatics, statistics, and analytical tools and sufficient knowledge of UNIX/Linux to manage a system and interact with system administrators, support staff, and other computational research groups. Other required qualifications are advanced skills in scripting or programming languages, preferably Python and R, and the ability to communicate effectively in a highly interdisciplinary environment.

ETH Zurich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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The D-BSSE ( is a highly interdisciplinary department – specializing in systems and synthetic biology, bioinformatics and data science, and engineering sciences related to microfluidics and microfabrication. The D-BSSE is centrally located within a biomedical research hub with close links to top academic institutions (e.g., Friedrich Miescher Institute (FMI), Biozentrum and University of Basel) as well as major biotechnology and pharmaceutical companies (e.g., Novartis, Roche, Bayer, and Lonza). ETH Zurich ( is a global leader in science and technology and consistently ranks as one of the top universities in the world. Basel, Switzerland is an international city on the border with France and Germany – nested between the Swiss alps, black forest, and cheese and wine country. The city provides easy access to arts and culture, nature and adventure, and short commutes via train/plain/automobile to anywhere in Europe.

We look forward to receiving your application as a single PDF, including: 1) cover letter that mentions your scientific interests and why you are interested in the group, 2) CV, 3) diplomas and course transcripts, and 4) contact details of three referees. Please submit your applications online. Applications via email will not be considered. For questions about the position, please contact Prof. Platt (rplatt AT ethz DOT ch) (no applications).

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