Statistics Leader / Associate Director – Oncology Statistics
GSK
18 days ago
Remote friendly (Collegeville, PA)
United States
Clinical Research and Development
Statistics Leader / Associate Director – Oncology Statistics
Key Responsibilities:
- Provide statistical support to Projects across the Oncology pipeline.
- Lead statistical design, analysis, and interpretation for clinical programs across development phases using a range of statistical approaches (e.g., Bayesian methodology).
- Use simulations and advanced statistical methodology to inform trial design and risk assessment.
- Review and contribute to statistical analysis plans, protocols, and regulatory submissions.
- Work with cross-functional teams to translate statistical insight into program strategy.
- Mentor and coach statisticians to build capability and quality.
Basic Qualifications & Skills (Required):
- Advanced degree in Statistics, Biostatistics, or a related quantitative discipline (MSc or equivalent) with significant relevant post-graduate experience in oncology within the pharmaceutical industry or a clinical research setting.
- Proven track record contributing statistical expertise to early and/or late phase clinical development.
- Practical experience implementing simulations and statistical methods using R, Python, or similar tools.
- Strong written and verbal communication skills to explain methods/results to non-statistical colleagues.
- Strong organization and time management across multiple projects and deadlines.
Preferred Qualifications & Skills:
- PhD in Statistics/Biostatistics or closely related field.
- Experience with Bayesian methods, adaptive trial designs, and advanced modelling.
- Experience applying statistical methods to disease modelling, high-dimensional data, or real-world evidence.
- Experience mentoring/leading small technical teams.
- Experience preparing regulatory documents and interacting with regulators.
- Comfortable working with high-performance computing or large simulation environments.
Application instructions:
- Use the “cover letter” or your CV to describe how you meet the competencies outlined in the job requirements.
- Closing date for applications: 7 June 2026.
Key Responsibilities:
- Provide statistical support to Projects across the Oncology pipeline.
- Lead statistical design, analysis, and interpretation for clinical programs across development phases using a range of statistical approaches (e.g., Bayesian methodology).
- Use simulations and advanced statistical methodology to inform trial design and risk assessment.
- Review and contribute to statistical analysis plans, protocols, and regulatory submissions.
- Work with cross-functional teams to translate statistical insight into program strategy.
- Mentor and coach statisticians to build capability and quality.
Basic Qualifications & Skills (Required):
- Advanced degree in Statistics, Biostatistics, or a related quantitative discipline (MSc or equivalent) with significant relevant post-graduate experience in oncology within the pharmaceutical industry or a clinical research setting.
- Proven track record contributing statistical expertise to early and/or late phase clinical development.
- Practical experience implementing simulations and statistical methods using R, Python, or similar tools.
- Strong written and verbal communication skills to explain methods/results to non-statistical colleagues.
- Strong organization and time management across multiple projects and deadlines.
Preferred Qualifications & Skills:
- PhD in Statistics/Biostatistics or closely related field.
- Experience with Bayesian methods, adaptive trial designs, and advanced modelling.
- Experience applying statistical methods to disease modelling, high-dimensional data, or real-world evidence.
- Experience mentoring/leading small technical teams.
- Experience preparing regulatory documents and interacting with regulators.
- Comfortable working with high-performance computing or large simulation environments.
Application instructions:
- Use the “cover letter” or your CV to describe how you meet the competencies outlined in the job requirements.
- Closing date for applications: 7 June 2026.