PhD Position – AI-based Multi-Omics in Computational Biomedicine (m/f/d)
Department of Stem Cell Biology
Dr. Pooja Gupta
Kussmaulallee 4
91054 Erlangen
Dr. Pooja Gupta
Group Leader
Telefon: 09131 85-42840
Job-Nr.: 12390
Group Leader
Telefon: 09131 85-42840
Department of Stem Cell Biology
Dr. Pooja Gupta
Kussmaulallee 4
91054 Erlangen
Veröffentlicht seit: 23.02.2026
Job-Nr.: 12390
Department of Stem Cell Biology
Dr. Pooja Gupta
Kussmaulallee 4
91054 Erlangen
Dr. Pooja Gupta
Group Leader
Telefon: 09131 85-42840
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 invites applications for a PhD position in a newly established research group in Bioinformatics for Multi-Omics. The PhD project is part of a BMFTR-funded research initiative applying artificial intelligence to integrate multi-omics data for biomarker discovery in Parkinson’s disease (PD) and inflammatory bowel disease (IBD).
Your tasks:
- Analyze large-scale transcriptomic, proteomic, and metabolomic datasets
- Implement and evaluate machine learning models for disease subtyping and biomarker discovery
- Contribute to the construction of multi-layer molecular networks
- Work closely with clinicians and wet-lab researchers
- Present results at international conferences and publish in peer-reviewed journals
Essential experience/qualifications:
- Master’s degree in Bioinformatics, Computational Biology, Computer Science, Data Science, Systems Biology, or a closely related quantitative field
- Solid programming skills in Python and/or R (experience with scientific libraries and data analysis workflows is required)
- Strong foundation in statistics and machine learning
- Prior experience with high-throughput biological data (e.g., RNA-seq, proteomics, metabolomics)
- Experience with Linux/HPC environments and version control (Git) is highly desirable
- Demonstrated interest in AI-driven biomedical research and translational applications
- Ability to work independently and in an interdisciplinary team
- Very good English communication skills (written and spoken)