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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.
Institute of Clinical Molecular Biology
The Institute of Clinical Molecular Biology is focused on the understanding of the pathophysiology of chronic inflammatory disease, namely inflammatory bowel disease and has contributed in the recent to the molecular understanding how IBD risk genes transform into chronic intestinal inflammation in human. The Institute is one of the core research centres in various national and international research alliances (e.g. DFG ExC, IMI2 3TR and ImmUniverse).

Start in our team
We are looking for professional and competent support as early as possible. The initial contract is limited for three years with the intent to prolong.

What we offer:

• The salary will be based on the German E13 TV-L scale (65%) if terms and conditions under collective bargaining law are fulfilled
• The opportunity to pursue a PhD in a highly interdisciplinary and international environment
• Access to unique, large-scale clinical and multi-omics datasets from IBD cohorts
• Training opportunities in advanced bioinformatics, systems immunology, and microbiome research
• A stimulating and supportive scientific environment with close supervision and mentoring

Your tasks:

• Biomarker discovery using bulk transcriptomics data from blood and tissue samples
• Analysis of large-scale longitudinal gene expression datasets
• Identification of dynamic molecular and epigenetic signatures linked to disease progression and treatment response
• Support of patient stratification and data-driven clinical decision-making
• Identification of novel therapeutic targets, including PROTAC-based approaches

Your profile:

• A completed academic degree (Master or equivalent) in bioinformatics, computational biology, systems biology, biostatistics, in engineering, mathematics, or related areas
• Experience in bioinformatics and analyzing various omics data layers welcome; specific knowledge on transcriptome analysis, including differential and coexpression analysis, is a plus
• Programming and data analysis skills is advantageous (R and/or Python; experience with HPC environments)
• Enthusiasm for multi-omics data integration and systems medicine approaches
• Excellent English communication and writing skills

Please submit your application until 11.05.2026 indicating the reference number 28362.