Summary: The Senior Statistician role involves providing expert statistical guidance for clinical research initiatives, directly reporting to the Director of Biometrics. This position requires strong analytical skills to drive data analysis, support study design, and ensure regulatory compliance. The role is integral to advancing innovative therapies and impactful research within a collaborative team environment. Candidates should possess a solid background in statistical methods and programming, particularly in clinical trial settings.
Key Responsibilities:
- Provide expert statistical guidance across a diverse portfolio of clinical programs.
- Drive data analysis and support study design.
- Ensure regulatory excellence in clinical research initiatives.
- Coordinate with vendors and cross-functional teams.
- Review and design statistical analysis plans.
Key Skills:
- Proven experience applying statistical methods in clinical trials.
- Strong SAS® and R programming skills.
- Expertise in designing and reviewing statistical analysis plans.
- Knowledge of CDISC standards and clinical data submission processes.
- Understanding of GCP regulations and drug development processes.
- Strong communication skills and ability to prioritize in fast-paced settings.
Salary (Rate): undetermined
City: Oxford
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Exciting Opportunity: Senior Statistician – Shape the Future of Clinical Innovation
Join a dynamic team dedicated to advancing groundbreaking clinical research as a Senior Statistician. In this pivotal role, reporting directly to the Director of Biometrics, you will provide expert statistical guidance across a diverse portfolio of clinical programs, contributing to life-changing therapies and impactful research initiatives. Your expertise will drive data analysis, support study design, and ensure regulatory excellence in a collaborative environment.
Key Skills Include
- Proven experience applying statistical methods in clinical trials
- Strong SAS® and R programming skills
- Expertise in designing and reviewing statistical analysis plans
- Knowledge of CDISC standards and clinical data submission processes
- Ability to coordinate with vendors and cross-functional teams
- Understanding of GCP regulations and drug development processes
Nice-to-Have Skills
- Oncology and diagnostic imaging experience
- Familiarity with NDA/MAA documentation and regulatory submissions
Preferred Education & Experience
- BSc (Hons) in a scientific or mathematical discipline; MSc or PhD preferred
- Significant post-graduate experience in statistical roles within clinical research
Other Requirements
- Must be flexible to work 1 day on-site in Oxford
- Strong communication skills and ability to prioritize in fast-paced settings
If you're ready to make an impact in clinical science and thrive in a collaborative environment, apply now and take your career to the next level!