Data Steward (m/w/d) Munich Data Science Institute und LETSIMMUN (TRR 338)

Data Steward – Full‑time – TUM, LMU, JMU – LETSimmun (TRR 338)

Das Munich Data Science Institute (MDSI) and the TRR 338 LETSimmun consortium seek a Data Steward to support research data management across the Technical University of Munich (TUM), Ludwig‑Maximilians‑Universität München (LMU), and Julius‑Maximilians‑Universität Würzburg (JMU). The position is full‑time with the earliest possible start date.

Über TRR 338 LETSimmun

LETSimmun is a DFG‑funded trans‑regional consortium focused on lymphocyte engineering. It brings together internationally recognised researchers, clinicians, and interdisciplinary experts to advance translational immunology through coordinated experimental, technological, and clinical research.

Über das MDSI

Das Munich Data Science Institute is an interdisciplinary research institute at TUM with a faculty‑crossing focus on data science, machine learning, and artificial intelligence. It is actively involved in research data management (RDM), developing sustainable concepts for data storage, management, and analysis.

Über die Stelle

The Data Steward acts as the central liaison for research data management within LETSimmun, while also being part of the MDSI team. The role supports coherent RDM across projects, promotes interoperability of diverse datasets, and facilitates knowledge sharing across institutional and disciplinary boundaries.

Aufgaben

• Design and implementation of harmonised data workflows to ensure quality, interoperability, and reusability.
• Collection, curation, integration, and documentation of various datasets.
• Development of shared guidelines and best practices for data integrity, versioning, and long‑term archival.
• Coordinating RDM activities within the project and across partner universities.
• Training researchers in best research data management practices.
• Fostering knowledge exchange and contributing to a sustainable community of practice.

Anforderungen

• Master’s degree or higher in immunology, biology, bioinformatics, data science, or a related field with strong data focus.
• Experience handling life‑science or immunology research data.
• Knowledge of data repositories, metadata standards, and relevant research‑IT infrastructures.
• Strong communication and teamwork skills, and the ability to work across research, data science, and IT domains.
• Very good English skills in reading and writing.
• Experience in collaborative research environments is desirable.

Was wir bieten

• Central role in shaping sustainable data practices in an inter‑university research project.
• Close collaboration with researchers and data experts at three universities.
• Opportunities to expand expertise in FAIR data, life‑science data stewardship, and inter‑institutional research infrastructures.
• Flexible and hybrid working models, subject to institutional regulations.
• Salary according to TV‑L (e.g., E13), based on qualification and experience.

Bewerbung

If you are interested, send your application by 06 April 2026 with cover letter (including earliest possible start date), CV, and relevant certificates and references in a single PDF to and use the subject line: MDSI TRR338 LETSimmun Data Steward .

TUM is committed to increasing the representation of women and strongly encourages female applicants.

Kontakt

For further questions contact Dr. Magdalena Nauerth ( ).

The position is suitable for disabled persons. Disabled applicants will be given preference when suitability, aptitude, and performance are generally equivalent.

Data Protection Information

When you apply for a position with TUM, you will submit personal data. Please review the data protection notice in accordance with Art. 13 of the GDPR. By submitting your application, you confirm acknowledgement of this information.