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Data Steward (f/m/d) Munich Data Science Institute and LETSIMMUN (TRR 338)
Garching
Aktualität: 05.03.2026

Anzeigeninhalt:

05.03.2026, Technische Universität München (TUM)
Garching
Data Steward (f/m/d) Munich Data Science Institute and LETSIMMUN (TRR 338)
Aufgaben:
We are seeking a committed Data Steward to act as a central contact point for research data management within LETSimmun and as a team member at the MDSI. Within a highly collaborative and interdisciplinary environment, the Data Steward plays a key role in supporting coherent research data management across projects, enabling interoperability between diverse datasets, and facilitating knowledge exchange across The Data Steward will also play a key role in fostering a cross-institutional community of practice for immunology data stewardship and in supporting alignment of practices across partner institutions. Due to the close collaboration required with researchers and team members, the position requires regular on-site presence and is not suitable as a fully remote role . Design and implement harmonised data workflows to ensure data quality, interoperability and reusability Support the collection, curation, integration and documentation of different datasets Develop shared guidelines and best practices for data integrity, version control and long-term preservation Coordinate research data management activities within the project and across collaborating universities Support onboarding and training of researchers in good research data management practices Facilitate knowledge exchange and contribute to building a sustainable community of practice
Qualifikationen:
Master's degree or higher in Immunology, Biology, Bioinformatics, Data Science, or a related field with a strong focus on data handling Experience working with life-science or immunological research data Knowledge of data repositories, metadata standards, and relevant research IT infrastructures Strong communication and interpersonal skills and the ability to work with researchers, data scientists, and IT specialists and across disciplinary and institutional boundaries Excellent written and spoken English skills Experience working in collaborative research environments is desirable

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