PhD Student/Bioinformatician (gn*)Fixed term of 3 years | Full-time with 100% | Salary according to TV-L, salary group 13 | Institute of Medical Informatics | Job ID: 11712We 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 boardThe 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 (CRC) 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 othersContribute to the development of new algorithms and methods for the efficient analysis of large-scale omics datasetsParticipate in workflow automation and management using systems such as SnakemakeParticipate 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 disciplineKnowledge of algorithm development and bioinformatics pipelinesExperience in the analysis of biological data (e.g., omics technologies) is desirableProgramming skills (e.g., Python, R, C/C++)Knowledge of workflow management systems (e.g., Snakemake) is beneficialMotivation for scientific work and willingness to contribute to an interdisciplinary teamGood English communication skills (spoken and written); German skills are advantageousWE 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 EveState-of-the-art computing infrastructureCompetitive, interdisciplinary, and international research environment with a track record of intense mutual collaborationStructured PhD-training programme with a wide range of professional development opportunitiesA respectful and appreciative work environment within a diverse teamSupport and advisory services for health and work-life balanceAdditional benefits such as sports programmes, job ticket, company events, cafeteria, and emergency childcareFor inquiries, please contact: Dominik.Heider@uni-muenster.de, T +49 251 83 58381.Apply now via our career portal by February 11, 2026.Please include:Letter of motivation (max 2 pages)Summary of your master's thesis (max 1 page)Summary of your doctoral thesis (max 1 page)Transcript and scanned copies of your degree certificatesTwo letters of recommendation and/or names and contact details of two referencesBENEFITSExciting ProjectsProfessional Development and TrainingInterdisciplinary CollaborationPart of Research InnovationAdditional BenefitsExciting ProjectsProfessional Development and TrainingInterdisciplinary CollaborationPart of Research InnovationAdditional Benefits(*gn=gender neutral)The University Hospital of Münster is one of the leading hospitals in Germany. Such a position cannot be achieved by size and medical successes alone. The individual commitment counts above all. We need your commitment so that even with little things we can achieve great things for our patients. There are many possibilities open for you so that you may develop with them.Questions about how to apply? Click hereEqual opportunities are a part of our Human Resources Policy. UKM supports the compatibility of work and family life and is certified as "Family-friendly Company" since 2010. Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities. Handicapped candidates with equivalent qualifications will be given preference. Due to legal requirements working with us is only permitted with complete vaccination against measles.Universitätsklinikum Münster Albert-Schweitzer-Campus 1, Gebäude D5 48149 Münster www.ukm.de