Postdoctoral Researcher – AI-based Multi-Omics in Computational Biomedicine (m/f/d)

Link: (CompanyWebsite)

Gegründet: 1824 (CompanyFounded)

Mitarbeiteranzahl: 5.001 bis 10.000 (CompanyEmployee)

Umsatz: 425 Mio. bis 850 Mio. (EUR) (CompanyRevenue)

Branche: Gesundheitswesen (CompanyIndustry)

Stellenbeschreibung

Anstellungsart

Befristeter Vertrag

Arbeitsort

91054 Erlangen

Leistungen

Aus der vollständigen Stellenbeschreibung

Zusätzliche Altersversorgung

Vollständige Stellenbeschreibung

Stammzellbiologie

38.5 Stunden

auf 36 Monate befristet

ab 01.04.2026

Eingruppierung gemäß TV-L

Bewerbungsfrist 31.03.2026

Universitätsklinikum Erlangen

Department of Stem Cell Biology

Dr. Pooja Gupta

Kussmaulallee 4

91054 Erlangen

Ansprechperson bei Fragen

Dr. Pooja Gupta

Group Leader

Postdoctoral Researcher – AI-based Multi-Omics in Computational Biomedicine (m/f/d)

Veröffentlicht seit: 23.02.2026

Job-Nr.: 12389

Ansprechperson bei Fragen

Dr. Pooja Gupta

Group Leader

Anschrift

Universitätsklinikum Erlangen

Department of Stem Cell Biology

Dr. Pooja Gupta

Kussmaulallee 4

91054 Erlangen

Postdoctoral Researcher – AI-based Multi-Omics in Computational Biomedicine (m/f/d)

Veröffentlicht seit: 23.02.2026

Job-Nr.: 12389

Universitätsklinikum Erlangen

Department of Stem Cell Biology

Dr. Pooja Gupta

Kussmaulallee 4

91054 Erlangen

Ansprechperson bei Fragen

Dr. Pooja Gupta

Group Leader

Klingt spannend?

Das sind wir:

Patient care at the highest level, excellent research and teaching, and cutting-edge medicine and diagnostics – that is Universitätsklinikum Erlangen. With more than 10,000 highly qualified employees, we are one of the largest employers in the region and continue to grow. Through scientific excellence and strong commitment, we offer our patients innovative and future-oriented treatment options and actively contribute to medical progress.

The Department of Stem Cell Biology at Universitätsklinikum Erlangen is seeking a highly motivated Postdoctoral Researcher to join a newly established research group in Bioinformatics for Multi-Omics. The position is embedded in a BMFTR-funded project focused on AI-driven integration of multi-omics data to study complex comorbidities, with a particular focus on Parkinsons disease (PD) and inflammatory bowel disease (IBD).

Your tasks:

Develop and apply AI models (e.g., graph neural networks, variational autoencoders) for integrative multi-omics analysis

Construct and analyze molecular interaction networks across e.g. transcriptomic, proteomic, and metabolomic data

Perform biomarker discovery and simulation-based perturbation analyses

Collaborate with clinicians and experimental scientists in a translational research environment

Publish research findings in high-impact journals and contribute to open-source software

Essential experience/qualifications:

PhD in Bioinformatics, Computational Biology, Data Science, or a related field

Strong background in machine learning and statistical modeling

At least 1–3 years of postdoctoral or equivalent research experience in computational life sciences

Track record of publications in peer-reviewed journals

Experience with multi-omics data integration

Proficiency in Python/R and deep learning frameworks (e.g., PyTorch, TensorFlow)

Strong interest in translational biomedical research

We offer a highly interdisciplinary research environment, access to state-of-the-art computational infrastructure, and close collaboration with national and international partners.

We offer:

A secure and stable position with all the benefits of a public sector collective agreement, including additional pension coverage through the Federal and State Pension Scheme (VBL), as a system-relevant public employer