Summary:
Join a world leader in mass spectrometry-based proteomics at the Max Planck Institute for Biochemistry. We’re seeking a talented computational scientist or software engineer to advance the AlphaX Proteomics Software Ecosystem. Contribute to cutting-edge software solutions in a vibrant and collaborative research environment.
Computational Omics Scientist, Munich, Germany
Designation:
Computational Omics Scientist (m/f/div)
| Attribute | Details |
|---|---|
| Research Area | Biochemistry, Structural Biology, Chemical Biology, Biophysics |
| Location | Munich, Germany |
| Max Planck Institute | Max Planck Institute for Biochemistry |
| Application Round | March 2026 |
| Position Available From | June 1, 2026 |
| Salary | Based on the German public pay scale (TVöD) |
Eligibility/Qualification:
- PhD or Master’s degree in computer science, physics, mathematics, engineering, or a related quantitative field.
- Strong software engineering skills in Python and AI-assisted coding, including experience with package development, testing, and version control (Git/GitHub).
- Experience with scientific computing (NumPy, pandas, Mojo) and/or deep learning frameworks (PyTorch) is a strong plus.
- Demonstrated ability to write clean, maintainable, well-tested code.
- Curiosity and enthusiasm to learn a new scientific domain.
- Excellent communication skills in English.
Job Description:
- Engage with a team of computational scientists and experimentalists to build software for biomedical research.
- Design and develop core components of the AlphaX ecosystem, emphasizing performance and modularity.
- Implement and optimize algorithms for mass spectrometry data processing.
- Integrate deep learning models into production-ready analysis pipelines.
- Develop intuitive interfaces and visualization tools for advanced analyses.
- Contribute to the open-source community with documentation, tutorials, and user engagement.
No prior knowledge of proteomics or mass spectrometry is required. What matters is your engineering instincts, intellectual curiosity, and the desire to make a scientific impact.
How to Apply:
Interested candidates should submit the following documents in PDF format:
- A cover letter detailing motivation and scientific vision.
- CV including a publication list.
- A summary of previous research.
- Up to three references.
Applications should be submitted by April 13, 2026. Only shortlisted candidates will be contacted.
Contact Information:
- Principal Investigator: Prof. Dr. Matthias Mann
- Email: mmann@biochem.mpg.de
- Contact Person: Marc Oeller
- Email: oeller@biochem.mpg.de
- Phone: +49 (0)89 8578-2213
