You will join a integrated data & compute team, consisting of field experts, data stewards and HPC engineers, to facilitate the storage, processing, integration and sharing of scientific research data according to the FAIR principles. You will work closely with the staff of the imaging, flow cytometry and omics core facilities (genomics, proteomics, metabolomics) and develop tools & resources to enable data integration for multi-omics and AI-based research. Initially you will focus on challenges in the domains of flow cytometry and imaging. Specific tasks include:
- Develop specific imaging, flow cytometry and omics core facility procedures for FAIR data management.
- Develop local data and metadata storage resources and FAIR management solutions, based on community standards, established CF best practices and RDM compliance.
- Exchange knowledge and experience with local and central data stewards, as well as with national data stewards working at core facilities of other UMCs.
- Work with the researchers and core facility operators to make datasets “AI-ready”, also enable integration of data sets from different CFs for (AI-driven) data analysis.