Fixed term of 3 years | Full-time with 100% | Salary according to TV-L E13 | Institute of Medical Informatics

We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility – ideally with you on board!

The position is based at the Institute of Medical Informatics within the bioinformatics service unit of the research group "Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves scientists of the University, University Hospital, and Max Planck Institute Münster as well as of the RWTH Aachen. Our central objective is to elucidate the genetic, molecular, and cellular mechanisms governing the formation and function of the testis, production and function of sperm, fertilisation, as well as early embryonic development – in both health and disease. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis.

The bioinformatics service unit offers support and services for the analysis of large-scale omics data.

RESPONSIBILITIES:

• Develop, implement, and maintain bioinformatics pipelines for various omics data, including RNASeq and scSeq besides others
• Contribute to the development of new algorithms and methods for the efficient analysis of large-scale omics datasets
• Participate in workflow automation and management using systems such as Snakemake
• Participating in the Integrated Research Training Group ‘Reproduction.MS PhD-Training Centre in Translational Science’

REQUIREMENTS:

• Master’s degree in Computer Science, Bioinformatics, Medical Informatics, Computational Biology, or a related discipline
• Knowledge of algorithm development and bioinformatics pipelines
• Initial experience in the analysis of biological data (e.g., omics technologies) is desirable
• Programming skills (e.g., Python, R, C/C++)
• Knowledge of workflow management systems (e.g., Snakemake) is beneficial
• High motivation for scientific work and willingness to contribute to an interdisciplinary team
• Excellent English communication skills (spoken and written); German skills are advantageous

WE OFFER:

• Salary according to tariff agreement, extra annual payment, and company pension plan (VBL)
• 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve
• State-of-the-art computing infrastructure
• Competitive, interdisciplinary, and international research environment with a track record of intense mutual collaboration
• Structured PhD-training programme with a wide range of and professional development opportunities
• A respectful and appreciative work environment within a diverse team
• Support and advisory services for health and work-life balance
• Additional benefits such as sports programs, job ticket, company events, cafeteria, and emergency childcare

For inquiries, please contact: Dominik.Heider@uni-muenster.de, T +49 251 83 58381

Apply now via our career portal by 11 February 2026.

Please include:

• Letter of motivation (max 2 pages)
• Summary of your Master‘s thesis (max 1 page)
• Transcript and scanned copies of your degree certificates
• Two letters of recommendation and/or names and contact details of two references

BESTE BEDINGUNGEN: