BENEFITS
Postdoc in Bioinformatics / Computational Biology (all gender) - The Department of Nephrology and Else Kroener-Fresenius Center
Arbeitsmodell: Full Time
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!
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.
Development and application of AI- / machine-learning-based models (e.g. deep learning, representation learning) to dissect cellular states, trajectories and regulatory networks
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:
Strong programming skills in R and/or Python and experience with common bioinformatics and ML frameworks (e.g. 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
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 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 contact UKF-Familienservice), child care during holidays
Uniklinik-Campus, Mensa, Cafés
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Applicants with severe disabilities will be given preferential consideration in cases of equal personal and professional qualifications.
Aus Wissen wird Gesundheit - das ist dabei unser täglicher Antrieb. Denn wir verbinden Krankenversorgung mit Forschung und Lehre, begrüßen den Fortschritt und entwickeln uns selbst immer weiter. So leisten wir einen wichtigen Beitrag für die Gesundheit und die Lebensqualität von über 500.000 Patientinnen und Patienten jährlich: kompetent, gewissenhaft und mit Leidenschaft.
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UNIVERSITÄTSMEDIZIN FRANKFURT | RECRUITING TEAM | THEODOR-STERN-KAI 7 | 60590 FRANKFURT AM MAIN
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