Principal Statistical Programmer - Pharma, SAS & CDISC

Principal Statistical Programmer - Pharma, SAS & CDISC

Full-Time 60000 - 70000 Β£ / year (est.) No working from home possible
Cytel

At a Glance

  • Tasks: Generate datasets and prepare clinical reports for pharmaceutical clients.
  • Company: Join Cytel, a leader in innovative clinical development.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic environment with collaboration opportunities across teams.
  • Why this job: Make a real impact on groundbreaking projects in the pharma industry.
  • Qualifications: 7+ years of experience in statistical programming and strong SAS skills.

The predicted salary is between 60000 - 70000 Β£ per year.

Cytel is seeking a Principal Statistical Programmer to support their pharmaceutical clients. This role involves generating datasets, preparing clinical reports, and collaborating with CROs. The ideal candidate should have over 7 years of experience, exceptional SAS programming skills, and a strong understanding of FDA regulations. Join Cytel's innovative team and contribute to groundbreaking clinical development projects in a dynamic environment.

Principal Statistical Programmer - Pharma, SAS & CDISC employer: Cytel

Cytel is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals in the pharmaceutical industry. With a strong emphasis on employee growth and development, Cytel offers numerous opportunities for advancement while working on groundbreaking clinical projects. Located in a dynamic environment, employees benefit from a supportive team atmosphere and the chance to make a meaningful impact in the field of clinical development.

Cytel

Contact Details:

Cytel Recruitment Team

We think you need these skills to ace Principal Statistical Programmer - Pharma, SAS & CDISC

SAS Programming
Clinical Report Preparation
Dataset Generation
FDA Regulations Knowledge
Collaboration with CROs
Pharmaceutical Industry Experience
Statistical Analysis