Computational Biologist / Bioinformatician (m/f/x)

RCI Regensburger Centrum für Interventionelle Immunologie
RCI – Regensburg Center for Interventional Immunology (foundation of public law)
Germany Bavaria Regensburg


The RCI – Regensburg Center for Interventional Immunology (foundation of public law) – researches and develops new immunotherapies for the treatment of tumours, autoimmune diseases, and transplant rejections.

The Next-Generation-Sequencing Core Facility (headed by Prof. Dr. Michael Rehli) supports the RCI researchers in high-throughput data generation, processing, analysis, visualisation, and interpretation as well as by providing IT infrastructure, software training, and consulting services. We are looking for a highly motivated and experienced

Computational Biologist /
Bioinformatician (m/f/x)
reference number: MR-2021-1
with enthusiasm for academic research to join our team as a staff scientist. The position is full-time (40.1 hours per week) and is remunerated on the TV-L salary scale (EG 13 TV-L). The position can also be filled part-time.

Your responsibilities:
- Development of bioinformatics workflows and pipelines
- Supporting of RCI scientists in the processing, analysis, interpretation, and publication of transcriptomic and epigenomic next-generation sequencing (NGS) data
- Analysis and integration of multi-omics datasets for solving complex scientific questions
- Providing bioinformatics consulting and software training to junior researchers


Your Competencies:
- Academic degree (MSc / PhD) in a relevant field (e.g. Bioinformatics, Informatics, Computational Biology, Biostatistics, Data Sciences), preferably with a background in NGS analysis
- Experience in programming and/or analysing data (e.g. using R, Python, Perl, C++) as well as reproducible workflows and version control
- Knowledge of standard bioinformatics tools for analyzing and interpreting next-generation sequencing data
- Proficiency in spoken and written English
- Interest to communicate, to collaborate, to connect different scientific disciplines, and to contribute to multidisciplinary teams

Start date

As soon as possible

How to Apply

Send your documents in one PDF file to, quoting the reference MR-2021-1


Prof. Dr. Michael Rehli