Our research:

Join a world leader in mass spectrometry-based proteomics. The Department of Proteomics and Signal Transduction at the Max Planck Institute of Biochemistry (MPIB), led by Prof. Dr. Matthias Mann, has shaped the field for over two decades — from pioneering computational proteomics to building some of the most advanced analytical workflows in the world. Our work spans from fundamental technology development to direct biomedical application, and our methods are used by laboratories and clinical groups globally.

We generate some of the largest and most complex proteomic datasets in the field — spanning thousands of patient samples across tissues, biofluids, and single cells. Our computational environment includes the AlphaX open-source software ecosystem (github.com/MannLabs) and active development of next-generation algorithms. We are looking for an outstanding computational scientist to lead the integration and interpretation of large-scale multi-omics datasets, with a particular focus on Parkinson's disease research as part of a newly established, multi-year international consortium.

What you will do:

You will develop and lead an independent, collaborative computational research effort at the interface of data science and biology. Depending on your interests and strengths, your work will include:

• Leading the integrative analysis of large-scale proteomics, lipidomics, glycomics, and clinical datasets across multiple patient cohorts and biomaterial types.
• Developing statistical and machine learning approaches for biomarker discovery, patient stratification, and disease trajectory modeling.
• Building and contributing to reproducible bioinformatics pipelines for multi-omics data processing and cross-cohort analysis.
• Translating complex datasets into actionable biological and clinical insights, in close collaboration with experimental scientists and international consortium partners.
• Contributing to open-science practices through public code, data, and protocol repositories.

Requirements:

• PhD in bioinformatics, computational biology, biostatistics, data science, or a related quantitative field.
• Strong experience in the analysis of large-scale omics datasets; experience with proteomics data is a plus but not required.
• Proficiency in Python, AI assisted coding, including relevant data science and statistical libraries.
• A track record of scientific independence and creativity — demonstrated through publications, novel analytical approaches, or open-source contributions.
• Interest in neurodegenerative disease and translational research.
• Excellent communication skills in English.

Our offer:

The successful applicant will become part of a renowned group in a dynamic international research environment, known for its collaborative and collegial scientific atmosphere. You will have access to one of the best-equipped MS laboratories in the world, a strong computational infrastructure, and an extensive network of academic and industry collaborators. The position is available from June 1, 2026. Salary follows the German public pay scale (TVöD), depending on experience and qualification. The Max Planck Society strives for gender equality and diversity and encourages applications from all backgrounds. Applications from severely disabled persons are expressly welcome. For further information about MPIB, please see http://www.biochem.mpg.de.