Senior Data Management Specialist for Early Research

14 hours ago


Ballerup, Ballerup Kommune, Denmark Novo Nordisk AS Full time
About the Job

We are seeking a highly skilled and experienced Senior Data Management Specialist to join our team in early research. As a key member of our department, you will play a vital role in ensuring the quality and consistency of our data.

As a Senior Data Management Specialist, your primary responsibility will be to manage pre-defined domains of master data and metadata groups, collaborating closely with data owners and analysts. You will be accountable for master data governance and management concerning data integrity, accuracy, and privacy where required.

Key Responsibilities
  • Work with diverse stakeholders across the company to assess, identify, and address data quality or consistency issues.
  • Establish data management plans for specific domains, including data quality and governance policies, and ensure adherence to standards.
  • Drive change management to influence the adoption of standardized vocabulary within regulatory, compliance, and safety guidelines.
  • Understand ETL processes to obtain internal and external data for analysis and integration into our data ecosystem.
  • Communicate widely and train specialists and research scientists in data management processes, including registration of new metadata.
Requirements

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

  • A Master's degree in life sciences or a related field, with 5 years of experience in biological or chemical data management.
  • Knowledge of data format standards and understanding of FAIR principles.
  • Proficiency in at least one scripting language, with a preference for Python.
  • Experience with cloud platforms AWS, MS Azure, or GCP.
  • Understanding of proteins and protein structures, and small molecules and their properties.
About Our Department

The Data Representation department aims to simplify data capture in early research using semantic models to establish interoperability across datasets. Our long-term vision 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. We 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.



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