Bioinformatician for Computational Genomics and Omics Data Analysis
100%, Zurich, fixed-term
The Laboratory of Regenerative and Muscle Biology at ETH Zurich, in collaboration with the Functional Genomics Center Zurich (FGCZ), offers a joint position for a bioinformatician to work on omics data.
Project background
The Laboratory of Regenerative and Muscle Biology (RMB), headed by Prof. Ori Bar-Nur, is a multidisciplinary and collaborative group of scientists focused on translating basic research findings into therapeutically applicable treatments. The lab operates at the intersection of molecular and cellular biology, gene- and cell-based therapies, and tissue engineering. It extensively employs multiomics tools in projects involving these research areas to advance our understanding of biological processes.
The Functional Genomics Center Zurich (FGCZ) is a joint core facility of 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
The bioinformatician will contribute to a wide range of basic and translational research projects in the RMB lab. The role involves working closely with an international research team, requiring a high level of motivation, scientific curiosity, and a collaborative mindset. As a member of the FGCZ Genome Informatics group, the candidate will provide bioinformatics services to support ongoing projects. This includes performing data analyses using the group's existing infrastructure, as well as developing and implementing additional analysis workflows. A particular focus will be on single-cell and spatial transcriptomics applications. Experience with research in these assays is highly desirable.
Profile
- PhD degree in bioinformatics or a related field
- Proficient in NGS data analysis with excellent scripting skills
- In-depth knowledge of R/Bioconductor and/or Python
- Working experience with GNU/Linux operating system
- Enthusiastic about statistical and bioinformatics data analysis
- Strong communication skills and a team-oriented approach
- Good understanding of biological research questions
- Service-oriented and adaptable to the evolving field of bioinformatics
- Advanced proficiency in English
Workplace
Workplace
We offer
The RMB Lab is located in the SLA building on the Schwerzenbach Campus of ETH Zurich, a world-leading institute. We provide a cutting-edge work environment, multiple well-equipped facilities with expert staff, supportive colleagues, and opportunities for innovative and dynamic projects. We offer a competitive salary and benefits package. The funding and employment terms for this position adhere to the regulations of ETH Zurich.
The FGCZ has extensive expertise in the analysis of single-cell, spatial transcriptomics, and other types of NGS data. We provide an open, collaborative working environment. With the highly performant hardware and software infrastructure at the FGCZ, we enable researchers to efficiently perform data analysis at scale.
We value diversity
Curious? So are we.
We look forward to receiving your online application by August 31, 2025, including the following documents: a detailed CV and a statement of experience and qualifications (no more than one page) and at least two reference letters. Applications sent via email or postal services will not be considered.
Questions regarding the position should be directed to Eva Skalamera (eva.skalamera@hest.ethz.ch) or Dr. Hubert Rehrauer (hubert.rehrauer@fgcz.ethz.ch). Further information can be found on the websites of the Laboratory of Regenerative and Muscle Biology and the Functional Genomics Center Zurich.
About ETH Zürich
Curious? So are we.
We look forward to receiving your online application by August 31, 2025, including the following documents: a detailed CV and a statement of experience and qualifications (no more than one page) and at least two reference letters. Applications sent via email or postal services will not be considered.
Questions regarding the position should be directed to Eva Skalamera (eva.skalamera@hest.ethz.ch) or Dr. Hubert Rehrauer (hubert.rehrauer@fgcz.ethz.ch). Further information can be found on the websites of the Laboratory of Regenerative and Muscle Biology and the Functional Genomics Center Zurich.