Das Universitätsklinikum Schleswig-Holstein (UKSH) verbindet internationale Spitzenforschung mit interdisziplinärer Krankenversorgung. Wir sind einziger Maximalversorger und größter Arbeitgeber des Landes. Unsere rund 17.000 Mitarbeitenden stellen eine höchst individuelle Versorgung sicher - unverzichtbar für die Menschen in Schleswig-Holstein.
We are searching for a Postdoctoral Researcher (m/f/d) Data Scientist/Bioinformatics/Computational Biology at the Institute for Cardiogenetics, University of Lübeck.

The University Medical Center Schleswig-Holstein (UKSH) combines international research with interdisciplinary patient care. The UKSH is the only tertiary care provider and the largest employer in Schleswig-Holstein. More than 17,000 employees ensure highly individualized care - indispensable for the people of Schleswig-Holstein.

The position is based at the Institute of Cardiogenetics at the UKSH. The institute brings together experts in life science, bioinformatics, and cardiovascular medicine to advance the understanding of molecular mechanisms underlying heart disease and to translate these insights into preclinical approaches. The work will be carried out within the framework of the Precision Medicine in Chronic Inflammation (PMI) https://www.precisionmedicine.de/de/ueber-den-cluster, and in close collaboration with the Clinic of Dermatology at the USKH Campus Lübeck.


Start in our team
We are searching for a highly motivated Data Scientist / Bioinformatician / Computational Biologist (f/m/d) to join our dynamic interdisciplinary team. You will contribute to ambitious, collaborative projects focused primarily on inflammatory disease research.
Join our team and support us from July 1st, 2026, as Postdoctoral Researcher.

What do we offer:
* Salary payment in accordance to remuneration group E13 TV-L, based on a fixed-term contract for 3 years.
* Full-time employment, currently 38.5 hours/ week. Part-time employment may be compatible within the framework of certain working time models.
* Stimulating environment and interdisciplinary research team
* Participation in the "PMI Cluster of Excellence - DFG EXC 2167/2" and the German Center of Cardiovascular Research (DZHK)
* Discover more exciting employee benefits at UKSH here: Benefits (uksh.de)


Your responsibilities:
* Apply methods from molecular epidemiology to WGS and scRNA Seq data
* In silico annotations of genomics findings
* Perform statistical data analysis, data integration, and visualization and contribute to the publication of research findings and research grant applications
* Provide support to interdisciplinary team members
* Close involvement in the PMI Project "Sex Diversity in CID"


Your profile:
* A strong background in bioinformatics, computational biology, data sciences, or a related field, with knowledge of biology, and a PhD (or a minimum of 3 yrs experience in the field) is required
* Statistical and bioinformatic skills, in particular analysis of human, in vitro, and in vivo omics datasets combined with hands-on experience in experimental validation of genetic and molecular findings
* Experience in applying statistical methods from genetic epidemiology
* Expertise in Linux/Unix environment, HPC clusters, proficiency in R, Python, and practical knowledge of reproducible workflow systems (e.g. Nextflow, Snakemake) and version control tools is appreciated
* Strong communication skills, with a passion for interdisciplinary teamwork, as well as fluency in English; knowledge of German is an advantage



We look forward to receiving your application by 18.03.2026. Please quote the job reference number 28003 in your application.