- 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.
- MSc degree in life sciences or a related field, with 5 years experience with biological or chemical data management (for example genomics, bioinformatics, next-generation sequencing, microscopy, imaging)
- Knowledge of data format standards and understanding of FAIR principles
- Proficiency in at least one scripting (programming) language, with a preference for Python
- Experience with (meta)data management of heterogeneous datasets, ETL processes, data governance & stewardshipIt would be beneficial for candidates to have experience in managing and curating extensive genomic, phenotype, and chemical data. Familiarity with cloud platforms such as AWS, MS Azure, or GCP is desirable. Additionally, understanding of proteins, their structures, and analytical techniques, as well as familiarity with small molecules, their properties, interactions, and various collection sources, including public databases, would be advantageous. About the department The Data Representation aims at simplifying the process of data capture in early research using semantic models to establish interoperability across data sets. The long-term vision of the department is to create a digital mindset by driving the adoption of FAIR principles across the pipeline. This department plays a key role in the intersection between research scientists, application developers, and data modelers. The team will act as a liaison among these groups to ensure the quality and consistency of data being generated while showcasing strong gains from analytics models using clean data. As a Research Data Steward, you will have the rare opportunity to influence and shape the data management strategy for the early research pipeline. Working at Novo Nordisk Novo Nordisk is its people. We know that life is anything but linear and balancing what is important at various stages of our career is never easy. That's why we make room for diverse life situations, always putting people first. We value our employees for the unique skills they bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk is working toward something bigger than ourselves, and it's a collective effort. Novo Nordisk relies on the joint potential and collaboration of its more than 60, employees. Together, we go further. Together, we're life changing.
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Research Data Steward - Måløv, Danmark - Novo Nordisk
Beskrivelse
The positionThe Research Data Steward is accountable for the management of pre-defined domains of master data and metadata groups.
Collaborating closely with data owners and data analysts, he/she will be responsible for master data governance and management concerning data integrity, accuracy as well as privacy where required.
This role will be a significant contributor to ensuring that data is complete, accurate, and timely.Job responsibilities include but are not limited to the following: