Postdoc in Bioinformatics / Computational Biology (all gender) - The Department of Nephrology a[...]

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

Join the Postdoc in Bioinformatics / Computational Biology (all gender) - The Department of Nephrology and Else Kroener-Fresenius Center role at Universitätsmedizin Frankfurt .

We provide excellent facilities for interdisciplinary research in nephrology and cardiovascular biology. The position is embedded in the excellence cluster Cardio‑Pulmonary Institute (CPI), the Deutsche Zentrum für Herz‑Kreislauf‑Forschung (DZHK) and the CRC TRR 219, offering state‑of‑the‑art omics platforms, high‑performance computing infrastructure, and comprehensive training opportunities. Apply now if you have completed your PhD and are highly motivated to contribute to understanding cardiovascular disease mechanisms in patients with kidney injury.

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‑learning–based 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

Qualifications

• 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 (publications, preprints, software or analysis pipelines)
• Solid experience with analysis of NGS data, ideally including one or more of: scRNA‑seq, scATAC‑seq, 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

Benefits

• Attractive salary based on a collective agreement (TV‑G‑U) with an annual special payment
• Long‑term security through company pension schemes
• Full‑time 40h/week, limited to 2 years; possible starting option
• Internal and external training for professional development
• Health offers: regular online and face‑to‑face courses on nutrition, relaxation, sports and exercise
• Part‑time employment possible; childcare in our daycare center and during holidays
• Free public transport in all Hessen (Free State Ticket Hessen)
• Uniklinik‑Campus facilities: Mensa, Café, etc.

Contact: Prof. Dr. Dr. Thimoteus Speer (Department of Internal Medicine 4)

Email:

Application Deadline:

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.