Senior Genomics Scientist – Polygenic Risk Scores (Hybrid) in Oxford

Senior Genomics Scientist – Polygenic Risk Scores (Hybrid) in Oxford

Oxford Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
Genomics

At a Glance

  • Tasks: Lead innovative genomic analysis projects and develop groundbreaking scientific approaches.
  • Company: Leading genomics organisation with a focus on transformative research.
  • Benefits: Competitive salary, 25 days annual leave, and robust health insurance.
  • Other info: Hybrid work model with opportunities for professional growth.
  • Why this job: Make a real impact in genomics and drive innovation in polygenic risk scores.
  • Qualifications: Strong background in genetic association analyses and statistical programming.

The predicted salary is between 50000 - 65000 Β£ per year.

Genomics is seeking a Senior Scientist to drive innovation in genomic analysis in either Oxford or London (Hybrid). You will develop groundbreaking scientific approaches and lead transformative projects using advanced statistical techniques. The role requires a strong foundation in genetic association analyses and statistical programming.

Benefits include:

  • Competitive salary
  • 25 days annual leave
  • Robust health insurance plan

Senior Genomics Scientist – Polygenic Risk Scores (Hybrid) in Oxford employer: Genomics

As a leading innovator in the field of genomics, our company offers an exceptional work environment that fosters creativity and collaboration. With a competitive salary, generous annual leave, and comprehensive health benefits, we prioritise the well-being and professional growth of our employees. Located in vibrant cities like Oxford and London, we provide unique opportunities for impactful research and career advancement in a supportive and dynamic culture.

Genomics

Contact Details:

Genomics Recruitment Team

We think you need these skills to ace Senior Genomics Scientist – Polygenic Risk Scores (Hybrid) in Oxford

Genetic Association Analyses
Statistical Programming
Advanced Statistical Techniques
Innovation in Genomic Analysis
Project Leadership
Transformative Project Management
Data Analysis