Hybrid Epidemiologist: Real-World Evidence & Data Analysis

Hybrid Epidemiologist: Real-World Evidence & Data Analysis

Full-Time 42000 - 42000 £ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Design and execute studies, perform statistical analyses, and communicate results to healthcare stakeholders.
  • Company: Join Dormont Manufacturing Co, a leader in Real-World Evidence.
  • Benefits: Enjoy a competitive salary, hybrid working, profit share bonuses, and strong training support.
  • Why this job: Make a real impact in healthcare with diverse projects and excellent career advancement opportunities.
  • Qualifications: Experience in epidemiology and data analysis is preferred.

The predicted salary is between 42000 - 42000 £ per year.

Dormont Manufacturing Co is looking for an Epidemiologist to join our expanding Real-World Evidence team.

You will work on diverse projects involving design and execution of studies, performing statistical analyses, and communicating results to stakeholders in healthcare.

The role includes a competitive starting salary of £42,000, benefits like hybrid working, profit share bonuses, and strong training support.

The position offers excellent career advancement opportunities.

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Hybrid Epidemiologist: Real-World Evidence & Data Analysis employer: Dormont Manufacturing Co

Dormont Manufacturing Co is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong commitment to employee growth, the company provides extensive training opportunities and a comprehensive benefits package, all while supporting a flexible hybrid work model that enhances work-life balance. Join us in shaping the future of lottery solutions in a role that promises meaningful impact and professional development.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

We think you need these skills to ace Hybrid Epidemiologist: Real-World Evidence & Data Analysis

Epidemiological Study Design
Statistical Analysis
Real-World Evidence
Data Analysis
Communication Skills
Stakeholder Engagement
Project Management