Senior Health Economics Modeller - Drive Real-World Impact

Senior Health Economics Modeller - Drive Real-World Impact

Full-Time No working from home possible
H

At a Glance

  • Tasks: Lead modelling projects that shape global healthcare decisions and outcomes.
  • Company: Dynamic HEOR team focused on real-world impact in healthcare.
  • Benefits: Competitive pay, personal development opportunities, and comprehensive benefits package.
  • Other info: Collaborative environment with opportunities for career advancement.
  • Why this job: Make a real difference in healthcare while working with innovative teams.
  • Qualifications: Experience in health economics and strong mathematical modelling skills.

HEOR is seeking experienced senior health economists to deliver high-quality modelling projects that influence healthcare decisions globally. Candidates will need expertise in developing mathematical models and a passion for innovative approaches.

The role includes leading multidisciplinary teams, collaborating in a supportive environment, and working on projects that drive real-world healthcare outcomes.

The company offers competitive compensation, a strong commitment to personal development, and a range of benefits.

Senior Health Economics Modeller - Drive Real-World Impact employer: HEOR

As a leading employer in the healthcare sector, our Cardiff office offers a dynamic work environment where innovation thrives. We prioritise employee growth through mentorship and collaboration with industry experts, ensuring that our team members are equipped to excel in their careers. With a strong focus on work-life balance and a commitment to impactful health outcomes, we provide a rewarding experience for those passionate about making a difference in oncology and market access.

H

Contact Details:

HEOR Recruitment Team

We think you need these skills to ace Senior Health Economics Modeller - Drive Real-World Impact

Health Economics
Mathematical Modelling
Project Leadership
Collaboration
Innovative Thinking
Real-World Evidence
Data Analysis