1. Postdoctoral Researcher – AI-based Multi-Omics in Computational Biomedicine (m/f/d)
Stammzellbiologie Stunden auf 36 Monate befristet ab Eingruppierung gemäß TV-L Bewerbungsfrist
Dr. Pooja Gupta
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 Parkinson's 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