Strategic Lead Global Statistical Programming

Strategic Lead Global Statistical Programming

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
Novartis

At a Glance

  • Tasks: Lead a talented team in global statistical programming and drive innovative solutions.
  • Company: Join Novartis, a leading global healthcare company with a focus on innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team that values collaboration and excellence.
  • Why this job: Make a real impact in drug development while working with cutting-edge tools and technologies.
  • Qualifications: Experience in statistical programming and strong leadership skills required.

The predicted salary is between 80000 - 100000 Β£ per year.

Novartis in London, United Kingdom, is seeking an Associate Director, Statistical Programming to lead a high-performing team of programmers across global studies.

The role blends leadership, strategic programming decisions, and cross-functional collaboration in a hybrid work model.

The role emphasizes driving standardization, adopting modern tools (R, Shiny, Git), and ensuring timely, high-quality programming deliverables within drug development programs.

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Strategic Lead Global Statistical Programming employer: Novartis

At Novartis, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid work model allows for flexibility while providing ample opportunities for professional growth and development in the pharmaceutical industry. With a commitment to enhancing customer experiences for healthcare professionals and patients alike, joining our team means contributing to meaningful work that makes a difference in people's lives.

Novartis

Contact Details:

Novartis Recruitment Team

We think you need these skills to ace Strategic Lead Global Statistical Programming

Leadership
Statistical Programming
R
Shiny
Git
Cross-Functional Collaboration
Standardization