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

Universitätsmedizin Frankfurt; Frankfurt; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading medical research institution in Frankfurt is seeking a PhD holder to join the Department of Nephrology for interdisciplinary research in cardiovascular diseases. The role involves analyzing multi-omics data and developing machine learning models to uncover disease mechanisms. Ideal candidates should have a strong background in bioinformatics, statistics, and programming. The position offers a full-time contract and attractive benefits including training opportunities and childcare support.

Leistungen

Attractive salary based on collective agreement

Long-term security through pension schemes

Internal and external training opportunities

Childcare support

Free public transport in Hesse

Qualifikationen

• PhD in bioinformatics, computational biology, or related field required.
• Experience with NGS data analysis and machine learning is essential.
• Strong interest in cardiovascular and kidney diseases.

Aufgaben

• Analyze and integrate single-cell RNA-seq and spatial transcriptomics datasets.
• Develop AI-based models for cellular state analysis.
• Collaborate with researchers to generate and test hypotheses.

Kenntnisse

Bioinformatics

Data science

Programming in R/Python

NGS data analysis

Machine learning

Communication skills

Ausbildung

PhD in bioinformatics or related field

Tools

R

Python

Bioconductor

PyTorch

TensorFlow

Jobbeschreibung

…you're in the middle of it

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‑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

…your skills are what we're looking for

• 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

…you’ll be offered a lot

• In addition to an attractive salary based on a collective agreement (TV‑G‑U) with an annual special payment, you benefit from long‑term security through company pension schemes
• You work full‑time 40 h/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 contact UKF‑Familienservice), child care during holidays
• Free public transport in all Hessen (Free State Ticket Hessen)
• Uniklinik‑Campus, Mensa, Cafés
• Insights: Instagram, YouTube, LinkedIn
• FAQ's for new employees

It's time to join our team!

Contact:Prof. Dr. Dr. Thimoteus Speer (Department of Internal Medicine 4)
Email:[e-mail]
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.