Scientific Data Steward

The Quantitative Biology Center (QBiC) and the Hertie Institute for AI in Brain Health (Hertie AI) at the University of Tübingen are seeking a Scientific Data Steward to support data management, governance, and interoperability. This is a joint position. 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

Benefits

• 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