Hybrid Senior Statistical Programmer: Drive Clinical Data in Denham

Hybrid Senior Statistical Programmer: Drive Clinical Data in Denham

Denham Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
Bristol Myers Squibb

At a Glance

  • Tasks: Own programming workload and shape analysis datasets for regulatory submissions.
  • Company: Bristol Myers Squibb, a leader in clinical data innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic role with autonomy and the chance to influence global healthcare.
  • Why this job: Make a real impact on medicine development and collaborate with diverse teams.
  • Qualifications: Experience in statistical programming and strong analytical skills.

The predicted salary is between 63000 - 77000 Β£ per year.

Bristol Myers Squibb in Uxbridge, UK is seeking a Senior Statistical Programmer to join our Global Biometrics & Data Sciences function.

You will own programming workload with real autonomy, shaping analysis datasets and TFLs that feed regulatory submissions.

This focused IC role offers hybrid work (50% onsite), collaboration with cross-functional clinical teams and external vendors, and the chance to impact how medicines are developed and reviewed by regulators worldwide.

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Hybrid Senior Statistical Programmer: Drive Clinical Data in Denham employer: Bristol Myers Squibb

Bristol-Myers Squibb in Uxbridge is an exceptional employer, offering a dynamic work culture that prioritises collaboration and innovation. Employees benefit from extensive career growth opportunities, mentorship programs, and the chance to contribute meaningfully to life-changing clinical trials, all while enjoying a supportive environment that values data integrity and compliance.

Bristol Myers Squibb

Contact Details:

Bristol Myers Squibb Recruitment Team

We think you need these skills to ace Hybrid Senior Statistical Programmer: Drive Clinical Data in Denham

Statistical Programming
Data Analysis
Regulatory Submissions
TFLs (Tables, Figures, Listings)
Collaboration Skills
Cross-Functional Teamwork
Autonomy in Work