Staff Bioinformatician/Computational Biologist
Staff Bioinformatician/Computational Biologist
100%, Zurich, fixed-term
The mission of the Institute of Microbiology (IMB) at ETH Zürich is to advance cutting-edge research in microbiology and immunology. To this end, the IMB provides a collaborative environment with a focus on understanding microbial communities and microbe-host interactions in diverse systems ranging from the ocean and plants to mice and humans. The IMB maintains interdisciplinary collaborations with several groups in the ETH domain, at the national level (for example, the NCCR Microbiomes) as well as international partners and large research consortia.
We are seeking a motivated, skilled and organised Staff Bioinformatician/Computational Biologist to join our team as a Staff Bioinformatician of the IMB.
Job description
Data analysis. The candidate supports research projects of PhD students and postdocs at the IMB by applying (and/or advising on) appropriate biostatistics and modelling methods for the analysis, integration and visualization of omics data (e.g., genomics, metagenomics, metatranscriptomics, proteomics, metabolomics).
Data and IT infrastructural management. The candidate supports the management, storage and submission to relevant repositories of the various data types (i.e., omics and imaging) that are generated at the IMB, and collaborates with the IT staff and Senior Bioinformatician of the IMB to maintain infrastructure for administrative and teaching needs.
Training of IMB members in relevant areas of bioinformatics/computational biology. The candidate supports the training of PhD students and postdocs by organising individual sessions and regular teaching sessions (e.g., workshops) for the members of the IMB.
Development of tools and methods for biological data analysis. Initiatives to develop tools and methods for the analysis of omics data, also in the context of career development, are welcome.
Your profile
Required qualifications:
- PhD (or MSc) in bioinformatics, biostatistics, computer science, computational biology or related field
- Excellent communication, teamwork and organizational skills
- Demonstrated experience in the modelling and analysis of omics data
- Solid understanding of biological/statistical data analysis methods
- Proficient programming skills (e.g., Python, R, UNIX/bash scripting, use of HPC systems)
The following additional qualifications may be advantageous:
- Expertise in statistical approaches to integrate multi-omics data
- Background in microbial population/comparative genomics, ecology and evolution, physiology and metabolism
Your workplace
Your workplace
We offer
The position is located at the Institute of Microbiology at ETH Zürich and embedded in the Laboratory of Microbiome Research, providing an environment of complementary expertise in the area of bioinformatics and infrastructure for high-performance computational analysis. You will work within a vibrant, highly-collaborative research environment with ample opportunities for advanced training, networking, and career development.
We value diversity
Curious? So are we.
We look forward to receiving your online application with the following documents by July 31st 2024:
- A Cover/motivation letter (one page) that demonstrates your suitability for the offered position
- A Curriculum Vitae including a list of publications and academic records
- Names and contact information of two references
- Work references and/or other certificates
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Questions regarding the position should be directed to Prof. Dr Shinichi Sunagawa (Write an email).
For recruitment services the GTC of ETH Zurich apply.
About ETH Zürich
Curious? So are we.
We look forward to receiving your online application with the following documents by July 31st 2024:
- A Cover/motivation letter (one page) that demonstrates your suitability for the offered position
- A Curriculum Vitae including a list of publications and academic records
- Names and contact information of two references
- Work references and/or other certificates
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Questions regarding the position should be directed to Prof. Dr Shinichi Sunagawa (Write an email).
For recruitment services the GTC of ETH Zurich apply.
