Postdoc in Bioinformatics Computational Biology (all gender) The Department of Nephrology and Else Kroener-Fresenius Center

The Department of Nephrology and Else Kroener-Fresenius Center provides excellent facilities to conduct interdisciplinary research in the field of Nephrology and Cardiovascular biology. We offer an attractive surrounding for modern science in molecular medicine systems biology and data science.
It is embedded in the excellence cluster Cardio-Pulmonary Institute (CPI) the Deutsche Zentrum für Herz-Kreislauf-Forschung (DZHK) and the CRC TRR 219 and provides access to state-of-the-art omics platforms high-performance computing infrastructure and comprehensive training opportunities.

If you have finished your PhD and if you are highly motivated to contribute to the understanding of the mechanisms leading cardiovascular disease in patients with kidney injury apply now at the Department of Nephrology and the Else Kroener-Fresenius Center for Nephrological Research!

Your Role:

We aim to study the role of the hematopoietic system as a hub between cardiovascular and kidney diseases by leveraging large-scale multi-omics and clinical data. You will work at the interface of single-cell omics spatial transcriptomics AI-based modelling and population-scale datasets to identify mechanisms driving cardiovascular complications in kidney disease.

• Analysis and integration of single-cell RNA-seq (scRNA-seq) single-cell ATAC-seq (scATAC-seq) and spatial transcriptomics datasets
• Development and application of AI- / machine-learningbased models (e.g. deep learning representation learning) to dissect cellular states trajectories and regulatory networks
• Integration of large-scale population and biobank datasets (e.g. UK Biobank) with multi-omics data to identify risk profiles molecular signatures and causal pathways
• Close collaboration with experimental and clinical researchers to generate and test mechanistic hypotheses
• Preparation of scientific manuscripts and presentation of results at national and international conferences
• Contribution to supervision and mentoring of students (Master/PhD) in the field of bioinformatics and computational biology

• PhD (or equivalent) in bioinformatics computational biology computer science statistics systems biology medical data science or a related quantitative field
• Strong interest in cardiovascular and kidney diseases translational research and precision medicine
• Proven track record in bioinformatics / data science (e.g. publications preprints software or analysis pipelines)
• Solid experience with analysis of NGS data ideally including one or more of:
  o scRNA-seq
  o scATAC-seq
  o spatial transcriptomics
• Strong programming skills in R and/or Python and experience with common bioinformatics and ML frameworks (e.g. Bioconductor Scanpy PyTorch TensorFlow)
• Very good knowledge of statistics and machine learning; experience with deep learning or probabilistic modelling is an advantage
• Experience with large-scale data handling (HPC environments cloud computing containers workflow managers)
• Very good command of English (spoken and written); German is an asset but not mandatory
• You are organized team-oriented proactive open-minded and have good communication skills
• Due to legal regulations valid proof of measles immunity / measles vaccination is required

• In addition to an attractive salary based on acollective agreement (TV-G-U) with an annual special payment you benefit from long-term security through company pension schemes
• You work full-time 40h/week and limited to 2 years possible starting option 01.02.2026
• Internal and external training for your professional development
• Benefit from our attractive health offers. We offer regular online and face-to-face courses on nutrition relaxation sports and exercise
• Part-time employment is possible we offer childcare in our daycare center (if you have any questions please contactUKF-Familienservice) child care during holidays
• Free public transport in all Hessen (Free State Ticket Hessen)
• Uniklinik-Campus Mensa Cafés
• Insights: Instagram YouTube LinkedIn
• FAQs for new employees

Contact:Prof. Dr. Dr. Thimoteus Speer (Department of Internal Medicine 4)
Email:
Application Deadline: 21.12.2025

Please send your application with the usual documents consisting of CV letter of motivation and two references (one pdf-document please!). Please do not submit any originals as the application documents cannot be returned. Travel and application costs cannot be reimbursed.

We welcome applications from candidates of all genders. Women are currently underrepresented in these positions at Universitätsmedizin Frankfurt. Therefore applications from women are especially encouraged. Applicants with severe disabilities will be given preferential consideration in cases of equal personal and professional qualifications.