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Software Developer / Data Engineer in Proteomics

Germany, Freising · Job Posted December 09, 2025
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Job Description

The Chair of Proteomics and Bioanalytics at the Technical University of Munich located in Freising invites applications for a Software Developer / Data Engineer in Proteomics. We are seeking a talented and motivated individual to join our precision oncology research program. The successful candidate will design and implement computational frameworks for processing, integrating, and analyzing large-scale phosphoproteomics patient data, supporting the discovery of signaling networks and actionable therapeutic targets in cancer.

Job Responsibility

  • Develop and maintain scalable data-processing pipelines for mass spectrometry-based phosphoproteomics and related omics data
  • Design, build, and document database systems and interfaces for managing, visualizing, and mining complex multi-omics datasets
  • Integrate quantification, annotation, and pathway information with genomic and transcriptomic data relevant to cancer signaling and drug response
  • Collaborate closely with proteomics experts, cancer biologists, and clinicians to transform experimental data into biologically and clinically meaningful insights
  • Implement data quality control, and reproducibility workflows in accordance with regulatory requirements
  • Contribute to the development of APIs, web tools, and dashboards for internal users and collaborators

Requirements

  • MSc or PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field
  • Solid experience in programming and system architecture design (e.g., Python), workflow management tools (e.g., Nextflow) and containerization (e.g., Docker)
  • Strong knowledge of relational database systems and schema design (e.g., MySQL), and web-development (e.g., Vue.js) including data visualization frameworks (e.g., D3.js)
  • Excellent collaborative skills
  • ability to work in multidisciplinary teams

Nice to have

  • Familiarity with mass spectrometry-based phosphoproteomics or proteomics data
  • Understanding of signal transduction networks, kinase–substrate relationships, and phosphoproteomics information resources (e.g., PhosphoSitePlus, KinHub)
  • Experience with cloud or HPC environments for large-scale data analysis
  • Self-motivated and broadly interested individual with high potential and a strong sense of responsibility
  • Flexibility and the ability to work in a fast-paced environment on multiple scientific and infrastructure projects
  • Good inter-cultural and interpersonal communication skills as well as presenting complex data to scientists and clinicians in English

What we offer

  • Join an interdisciplinary team of biochemists, cell biologists, bioinformaticians, and clinicians that uses the latest proteomic approaches to fight cancer
  • The Technical University of Munich is one of the best academic institutions in the world, and offers a stimulating work environment and excellent future perspectives
  • The position is initially available for two years but may be extended
  • The salary follows the TVL scale
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