Karriere
am Klinikum & Medizinischer Fakultät
Scientific Data Steward (f/m/d)
Quantitative Biology Center (QBiC) and Hertie Institute for AI in Brain Health (Hertie AI), index number 7476
Full-time: 100 %
Limited: 31.03.2029 1
Start of work:
as soon as possible
Application deadline: 21.05.2026
TV-L
i.d.R. E13 2
This is a joint position:
50% of the position will be embedded at QBiC, focusing on cross-project data stewardship for omics-based research data in accordance with several Excellence Clusters, such as Human Origin, iFIT, and CMFI
- Support and accompany researchers in the Excellence Clusters with data management in the research data life cycle from conceptual planning to implementation and publication
- Stay up to date with current data governance concepts, maintain metadata standards and documentation
- Support the integration of heterogeneous biomedical data types
- Interface with national and international data infrastructures (e.g., NFDI)
- Provide consultation and training on best practices in data management
50% will be embedded at Hertie AI, with a focus on the organization, structuring, and sustainable management of health and clinical data including tabular and imaging data from international or national cohorts as well as clinical hospital data
- Organize and structure internal research data, including data from different national and international cohorts (NAKO, UKBiobank) and anonymized clinical data
- Develop sustainable data storage, access, and documentation concepts
- Support researchers in harmonizing data formats and workflows and preprocessing clinical and imaging data including anonymization / pseudonymization
- Establish internal data standards and templates
- Support submission of data management plans and ethics applications
- Master degree in bioinformatics, data science, computer science or a related field
- Experience in data integration, data governance and research data management
- Familiarity with scripting or programming languages (e.g., Python) and database systems is a plus
- Hands-on experience with metadata standards and ontologies
- Strong communication skills and a service-oriented mindset
- Interest in interdisciplinary research environments
- Experience in biomedical research is an advantage
Modern Environment
- Innovative university hospital
- State-of-the-art technology
- World-class international research
- Excellent career prospects
Research
- Cutting-edge research at the highest level
- Support from PhD to professorship
Career & Development
- Structured onboarding
- In-house academy
- Diverse training opportunities
- Targeted career development
Internationality
- Cultural & generational diversity
- Support through language courses
- Integration programmes (nursing)
Equal Opportunities & Diversity
- Active promotion of equality
- Internal committees as a point of contact
- Network for conflict resolution
- Innovative university hospital
- State-of-the-art technology
- World-class international research
- Excellent career prospects
- Cutting-edge research at the highest level
- Support from PhD to professorship
- Structured onboarding
- In-house academy
- Diverse training opportunities
- Targeted career development
- Cultural & generational diversity
- Support through language courses
- Integration programmes (nursing)
- Active promotion of equality
- Internal committees as a point of contact
- Network for conflict resolution
Index number: 7476
Including CV and cover letter
Application deadline: 21.05.2026
1 Continued employment will be sought whereever possible.
2 The data provided does not constitute a basis for an employment contract at the University Hospital of Tübingen. It is intended to serve as a rough guide for all interested parties. Remuneration is governed by the applicable collective bargaining agreements in conjunction with the corresponding pay scales.
Further information can be found here: https://www.medizin.uni-tuebingen.de/de/karriere/gehalt.
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