Bioinformatician for Computational Genomics and Omics Data Analysis 100%, Zurich, fixed-term
ETH Zürich
Contattare
Bioinformatician for Computational Genomics and Omics Data Analysis
100%, Zurich, fixed-term
print Drucken
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.
chevron_right Working, teaching and research at ETH Zurich
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 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
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.
About ETH Zürich
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.
100%, Zurich, fixed-term
print Drucken
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.
chevron_right Working, teaching and research at ETH Zurich
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 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
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.
About ETH Zürich
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.