Bioinformatician Single Cell Analysis and Spatial Transcriptomics

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The Functional Genomics Center Zurich (FGCZ) is a joint core facility of the ETH Zurich and the University of Zurich that applies the latest omics technologies for biomolecular research and personalized medicine. The FGCZ Genome Informatics group supports researchers with the analysis and interpretation of large-scale datasets, in particular next generation sequencing (NGS) data. The team covers raw data processing, high-performance computing, statistical evaluation, interpretation, and integrated analysis. The team runs an excellent open source based software environment and establishes state-of-the-art data analysis concepts and algorithms.

Job description

You will extend the existing team and closely collaborate with researchers at ETH Zurich and University of Zurich. The main responsibilities will be the reproducible analysis, visualisation and interpretation of multi-omics datasets with a focus on single-cell sequencing and spatial transcriptomics. You will use and extend existing analysis workflows. Additionally, you will advise researchers of ETH Zurich and University of Zurich on experimental design and data analysis strategies.

Your profile

  • PhD degree in bioinformatics or a related field
  • proficient in NGS data analysis with very good scripting skills
  • good understanding of biological research questions
  • highly communicative, team-oriented
  • enthusiastic about statistical and bioinformatics data analysis
  • service-oriented and ready to keep up with the constant developments in the field
  • advanced knowledge of English
  • working experience with GNU/Linux operating system
  • in depth knowledge of R/Bioconductor and/or python

We offer

The Genome Informatics group has expert knowledge in the analysis of single cell, spatial transcriptomics, and other types of NGS data. We provide an open, collaborative working environment. With our highly performant hard- and software environment, we offer great opportunities to work efficiently on exciting data analysis challenges.

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We value diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we.

We look forward to receiving your online application with the following documents:

  • Motivation letter
  • Curriculum Vitae
  • Diplomas & Certificates, job references
  • contact details of two referees

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the FGCZ can be found on our website Questions regarding the position should be directed to Dr. Hubert Rehrauer, (no applications).