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Kussmaulallee 4, 91054 Erlangen

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"PhD Position – AI-based Multi-Omics in Computational Biomedicine (m/f/d)"

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PhD Position – AI-based Multi-Omics in Computational Biomedicine (m/f/d)

PhD Position – AI-based Multi-Omics in Computational Biomedicine (m/f/d)

Universitätsklinikum Erlangen
Department of Stem Cell Biology
Dr. Pooja Gupta
Kussmaulallee 4
91054 Erlangen

Ansprechperson bei Fragen
Dr. Pooja Gupta
Group Leader
Telefon: 09131 85-42840

Veröffentlicht seit: 23.02.2026
Job-Nr.: 12390

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)

25.025 Stunden
auf 36 Monate befristet
ab 01.04.2026
Eingruppierung gemäß TV-L
Bewerbungsfrist 31.03.2026

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