Research Data Managers, Biomedical data stewardship and FAIR data management (RE2) per el Barcelona Supercomputing Center

The Life Sciences Department from the Barcelona Supercomputing Center is establishing a new team on Health Data Research within the Life Sciences Department that will collaborate closely with the INB/ELIXIR-ES unit. The Spanish National Bioinformatics Institute (INB) is the major bioinformatics platform in Spain, and the Spanish representative in the European bioinformatics infrastructure ELIXIR. INB is fully oriented to complete a solid integration with International Bioinformatics and Health Research Data infrastructures, including the ELIXIR consortium.

This new team has its focus on the massive amount of health data available for research in the last years and the recent efforts at national and European levels to tap on those data to benefit patients. Using such data helps scientists to understand diseases and health conditions better and provides new ways of identifying patients at higher risk. It also helps to prevent illness and to provide better treatments. This, in turn, improves the health services' efficiency, optimising their resources where they matter the most.

The selected candidates will have responsibility for ensuring the accessibility, usability, integrity, and security of biomedical data throughout its lifecycle in different projects, beyond the individual project level to include the management of data assets across different research communities.

Women candidates are especially encouraged to apply.

Key Duties

• Participate in data management planning for research projects, including data storage, backup, and archiving strategies.
• Facilitate data sharing and collaboration among research teams, both within the organization and with external partners.
• Implement and promote best practices in data stewardship and management, ensuring data is findable, accessible, interoperable, and reusable (FAIR).
• Develop and maintain data governance policies and procedures.
• Provide training and support to researchers on data management best practices and tools.

Data de tancament: Dimecres, 16 Octubre, 2024

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