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Research Data Steward - Måløv, Danmark - Novo Nordisk A/S
Beskrivelse
Do you believe in doing things the right way at the right time? Then, maybe you are the one we are looking for. The Data Representation department at Novo Nordisk is looking for a Research Data Steward with strong communication and leadership skills to support our data management initiative.
If you are ready to make a significant impact on the digitalization of Novo Nordisk Research & Early Development (R&ED), then read on and apply today for a life-changing career.
The position
The 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:
•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.
Qualifications
To be successful in this role, we are looking for someone with the following qualifications:
•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 & stewardship
It 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.
