Clinical Trials Statistician for Impactful Research in Leeds

Clinical Trials Statistician for Impactful Research in Leeds

Leeds Full-Time 35000 - 45000 Β£ / year (est.) No working from home possible
Job Search Place Limited

At a Glance

  • Tasks: Conduct statistical analysis and develop methodologies for impactful clinical trials.
  • Company: Join the University of Leeds, a leader in healthcare research.
  • Benefits: Enjoy 26 days' holiday, a generous pension, and personal development opportunities.
  • Other info: Collaborative environment with opportunities for career growth.
  • Why this job: Make a real difference in healthcare outcomes while working with a supportive team.
  • Qualifications: Strong statistical skills and a passion for improving healthcare.

The predicted salary is between 35000 - 45000 Β£ per year.

The University of Leeds is seeking a dynamic individual to join its Clinical Trials Research Unit. This role involves statistical analysis and methodology development in a supportive environment. You will collaborate with a multidisciplinary team on various clinical trials aimed at improving healthcare pathways and outcomes.

Benefits include 26 days' holiday, a generous pension scheme, and personal development opportunities.

Clinical Trials Statistician for Impactful Research in Leeds employer: Job Search Place Limited

The University of Leeds is an excellent employer, offering a vibrant work culture that fosters collaboration and innovation within its Clinical Trials Research Unit. With a strong commitment to employee growth, you will benefit from extensive personal development opportunities, alongside a generous holiday allowance and pension scheme, making it an ideal place for those looking to make a meaningful impact in healthcare research.

Job Search Place Limited

Contact Details:

Job Search Place Limited Recruitment Team

We think you need these skills to ace Clinical Trials Statistician for Impactful Research in Leeds

Statistical Analysis
Methodology Development
Collaboration
Multidisciplinary Teamwork
Clinical Trials Knowledge
Healthcare Pathways Understanding
Data Interpretation