Research Data Steward Specialist

at  Novo Nordisk

Research Data Steward Specialist
Category: Data & AI
Location:Måløv, Capital Region of Denmark, DK
Do you believe in doing things the right way at the right time? Are you ready to support our data management initiative with strong communication skills? Then, maybe you are the one we are looking for. The Data Representation department at Novo Nordisk is seeking a Research Data Steward. Read more and apply today for a life-changing career.

QUALIFICATIONS

To thrive and succeed in this role, we expect you to have:

• A MSc degree in life sciences or a related field, with 5 years of experience with biological or chemical data management (for example genomics, bioinformatics, next-generation sequencing, microscopy, imaging).
• Knowledge of data format standards, understanding of FAIR principles. Exposure to biomedical vocabularies and taxonomies, such as MeSH, SNOMED, ICD9/10, MedDRA would be an advantage.
• Proficiency in at least one scripting (programming) language, with a preference for Python. Also, experience with cloud platforms AWS, MS Azure or GCP would be considered an advantage.
• Experience with (meta)data management of heterogeneous datasets, ETL processes, data governance and stewardship.
• Understanding of proteins and protein structures, and small molecules and their properties would be an advantage.

In this role your job responsibilities include but are not limited to the following:

• 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 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. Popularise the use of controlled vocabularies, ontologies, and data management best practices through training and workshops

To thrive and succeed in this role, we expect you to have:

• A MSc degree in life sciences or a related field, with 5 years of experience with biological or chemical data management (for example genomics, bioinformatics, next-generation sequencing, microscopy, imaging).
• Knowledge of data format standards, understanding of FAIR principles. Exposure to biomedical vocabularies and taxonomies, such as MeSH, SNOMED, ICD9/10, MedDRA would be an advantage.
• Proficiency in at least one scripting (programming) language, with a preference for Python. Also, experience with cloud platforms AWS, MS Azure or GCP would be considered an advantage.
• Experience with (meta)data management of heterogeneous datasets, ETL processes, data governance and stewardship.
• Understanding of proteins and protein structures, and small molecules and their properties would be an advantage