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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
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