Scientific Data Steward

Tasks

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

Profile

• 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

About them

The Faculty of Medicine is one of the four founding faculties of the Eberhard Karls University of Tübingen. With its non-clinical facilities as well as its research and teaching area corresponding to the organisational units of the University Hospital, it is one of the largest medical training and research institutions in Baden-Württemberg.

Contact for Questions

Prof. Dr. Philipp Berens or Prof. Dr. Sven Nahnsen

hertieai@medizin.uni-tuebingen.de

Online application to

Prof. Dr. Philipp Berens
Index number: 7476
Including CV and cover letter


Application deadline: 21.05.2026