Director of Real-World Data Strategy (Healthcare, Europe)

Denmark
Posted 1 month, 4 weeks ago
Data Science

About the role

Job summary

The Director of Real-World Data (RWD) Strategy is tasked with identifying and implementing innovative access to real-world scientific data across various patient clinical domains in Europe. This role demands hands-on experience with RWD, strong leadership, and relationship management skills to ensure compliance and effectiveness in data application.

Qualifications

  • Over 10 years of experience in the CRO, Pharma, or Data Vendor sectors.
  • Deep understanding of the clinical research process and healthcare market.
  • Broad experience in healthcare, scientific, and real-world data environments.
  • Familiarity with major patient data models such as CDISC, OMOP, LOINC, FHIR, MEDra, and SnoMED.
  • Proven ability to apply RWD solutions to clinical or commercial challenges.
  • Experience in budget management and cost evaluation for RWD solutions.
  • Master’s degree in biomedical informatics, public health, data science, life sciences, or a related field; advanced degree preferred.

Responsibilities

  • Develop high-quality, client-ready RWD strategy materials for proposals.
  • Represent RWD Strategy in client meetings and identify value-add opportunities.
  • Execute a global RWD acquisition strategy and assess options to expand data access.
  • Monitor and manage vendor capabilities and relationships, ensuring effective partnerships.
  • Collaborate with technology teams to meet region-specific system architecture needs.
  • Maintain relationships with regulatory bodies and stay informed on the RWD landscape in Europe.

Skills

  • Strong leadership and change management abilities.
  • Excellent oral and written communication skills.
  • Effective project management and strategic planning capabilities.

Education

  • Master’s degree in biomedical informatics, public health, data science, life sciences, or a related field; advanced degree preferred.

Tools

  • Proficiency in data management and analysis tools relevant to RWD and clinical research.
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