Bioinformatician / Computational Postdoc – Multi-Omics Data Integration
Postdoctoral position in Prof. Matthias Mann's Department of Proteomics and Signal Transduction in Munich, focused on integrative analysis of large-scale proteomics, lipidomics, glycomics, and clinical datasets for Parkinson's disease research within an international consortium. The role involves developing machine learning methods for biomarker discovery and patient stratification, and building reproducible bioinformatics pipelines. Requires a PhD in bioinformatics, computational biology, or biostatistics and proficiency in Python.
Bioinformatician / Computational Postdoc – Multi-Omics Data Integration
Institution: Max Planck Institute for Biochemistry, Munich, Germany
Department: Proteomics and Signal Transduction (PI: Prof. Dr. Matthias Mann)
Start Date: June 1, 2026 | Application Deadline: April 13, 2026
Salary: German public pay scale (TVöD)
Overview
The Mann lab seeks a computational scientist to spearhead integrative multi-omics analysis in a Parkinson's disease consortium. The position bridges state-of-the-art mass spectrometry proteomics with machine learning for translational impact.
Key Responsibilities
- Integrative analysis of proteomics, lipidomics, glycomics, and clinical datasets
- Development of ML methods for biomarker discovery and patient stratification
- Creation of reproducible bioinformatics pipelines
- Collaboration with experimental teams and international consortium partners
- Open-science contributions (code and data repositories)
Requirements
- PhD in bioinformatics, computational biology, biostatistics, or related quantitative field
- Demonstrated expertise analysing large-scale omics datasets
- Proficiency in Python and data science libraries
- Published research or open-source contributions
- Interest in neurodegenerative disease and translational research
Contact: Marc Oeller – oeller@biochem.mpg.de