Research Data Steward Specialist

Category: Data & AI

Location:Måløv, Capital Region of Denmark, DK

• Work and support diverse stakeholders across the company and with owners of specific data elements to assess, identify and address data quality or consistency issues.
• Establish the data management plan for a given domain (including data quality and governance policies) and ensure that standards are being adhered to.
• Drive change management to influence the adoption of FAIR data principles and standardized vocabulary within the established regulatory, compliance, and safety guidelines.
• Understand ETL processes to efficiently obtain both internal and external data for analysis and integration into the organization's data ecosystem.
• Communicate widely and set up training as required to train specialists and research scientists in data management processes including registration of new meta-data.
• Popularize the use of controlled vocabularies, ontologies, and data management best practices through training and workshops.

• An MSc degree in life sciences or a related field, with 5 years of experience with biological or chemical data management (for example protein data, next-generation sequencing, imaging, etc.). Working experience in relevant industry sector would be an advantage.
• Experience with (meta)data management, data governance and/or stewardship.
• Proficiency in at least one scripting (programming) language, with a preference for Python and experience with ETL processes. Experience with cloud platforms would be considered an advantage.
• Knowledge of data format standards and understanding of FAIR principles. Exposure to biomedical vocabularies and taxonomies, such as Me SH, SNOMED, ICD9/10, Med DRA would be an advantage.
• Understanding of proteins and protein structures, and small molecules and their properties would be an advantage.