Director HEOR and RWE

Søborg, Zealand
Posted 4 days, 22 hours ago
Healthcare

About the role

Job summary

The role involves leading the Health Economics and Outcomes Research (HEOR) and Real-World Evidence (RWE) initiatives within a Medical Affairs team, focusing on obesity and metabolic health. The position is strategic and global, influencing patient access and outcomes through evidence generation.

Qualifications

  • At least 5 years of relevant experience in HEOR or RWE within pharma, biotech, or consultancy.
  • Expertise in real-world evidence generation, including non-interventional studies and health outcomes research, preferably in obesity or cardiometabolic diseases.
  • Experience with Health Technology Assessment (HTA) evaluations and interpreting evidence for payer audiences.
  • Proven ability to create evidence-based value arguments and customer-facing tools.
  • Track record of peer-reviewed publications and leadership in cross-functional projects.
  • Master's degree or higher in life sciences, epidemiology, health economics, or a related field.

Responsibilities

  • Develop and execute HEOR and RWE strategies for the pipeline focused on obesity and metabolic diseases.
  • Drive Integrated Evidence Planning to meet the needs of payers, regulators, healthcare professionals, and patients.
  • Manage RWE studies and health outcomes research, including vendor selection and data analysis.
  • Translate clinical and real-world data into payer arguments and HTA-ready materials.
  • Innovate HEOR/RWE methodologies and provide internal training.
  • Build relationships with external research partners and stakeholders.

Skills

  • Strong strategic and collaborative skills with the ability to influence across functions.
  • Patient-centered mindset with high standards of scientific integrity.
  • Ability to work independently and as part of a team, with flexibility for cross-time zone collaboration.

Education

  • Master's degree or higher in life sciences, epidemiology, health economics, or equivalent.

Tools

  • Familiarity with data analysis tools and methodologies relevant to HEOR and RWE.
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