Postdoc (mfd) Single-cell & Spatial Omics in Kidney Adaptation (ERC-funded)

Department of Nephrology and Hypertension University Hospital Schleswig-Holstein (UKSH) and Kiel University (CAU)
You will work at the interface ofKiel University (CAU)and theUniversity Hospital Schleswig-Holstein (UKSH) one of Germanys leading academic medical centers. The research environment includes close collaboration with theInstitute of Clinical Molecular Biology (IKMB)and theCompetence Centre for Genomic Analysis(CCGA) providing access to cutting-edge genomics infrastructure and expertise. Kiel hosts multipleExcellence Clusters(includingPrecision Medicine in Chronic Inflammation) andCollaborative Research Centers (SFBs) offering a highly interactive ecosystem connecting basic science computation and clinical research.

We are seeking a postdoctoral researcher to join theERC Starting Grant project SINGuLAR( at the Balzer Lab () investigating how human kidneys adapt to organ loss.

Our lab studies how human kidneys regenerate after organ loss using cutting-edge single-cell and translational approaches. Rather than focusing on injury this project investigatespure adaptationin living kidney donorsa unique human model in which individuals lose 50% of kidney mass yet show remarkable compensatory growth.

Start in our team
We are looking for professional and competent support to startas soon as possiblelimitedfor 2 years.

What we offer:

• The salary will be based on the German E13 TV-L scale if terms and conditions under collective bargaining law are fulfilled
• A full-time employment currently 38.5 hours/week; a part-time employment may be possible within the framework of certain working time models
• Access tostate-of-the-art single-cell and spatial omics technologies
• Structured supervisionand training with strong support for skill development publications and career progression
• You can find more attractive UKSH benefits here:Benefits ()

Your role:

• You will contribute to building thefirst longitudinal single-cell and spatial atlas of human kidney adaptation combining single-cell RNA-seq spatial transcriptomics and single-cell ATAC-seq with deeply phenotyped clinical cohorts
• You will help establish and drive the experimental and computational framework of the project including developing single-cell and spatial omics pipelines generating and integrating multi-omic datasets and collaborating closely with clinicians and interdisciplinary partners

Your profile:

We are looking for candidates with a strong background insingle-cell and/or spatial omicsand experience inbioinformatics analysis and data integration.

• PhD in bioinformatics computational biology genomics molecular biology or a related field
• Proven experience with single-cell data analysis (e.g. scRNA-seq; spatial or epigenomics is a strong plus)
• Programming skills in R and/or Python
• Interest in or willingness to engage in wet-lab work (single-cell workflows)

We are looking forward to your application including a motivation letter CV and contact details of two references. Please submit your application until20th June 2026indicating the reference number28481.

Contact for Information:

• Prof. Dr. med. Michael Sören Balzer (E-Mail:)