Statistics Director

GSK Oncology is seeking a Statistics Director to provide end-to-end statistical leadership across oncology evidence generation.

You will lead statistical planning and delivery across clinical programs and lead clinical developments plans within oncology.

Responsibilities:

• Represent Oncology Biostatistics externally and serve as project statistician for an oncology asset
• Lead statistical assessment in business development opportunities
• Lead statistical strategy for study design, analysis, reporting, and interpretation
• Represent GSK-Oncology Biostatistics at scientific meetings and presentations
• Influence planning and decision-making strategy over assets through building and maintaining effective business relationships with key functions
• Contribute to and influence the strategic direction of the asset development and regulatory submission via rigorous and robust statistical knowledge
• Ensure state-of-the-art expertise on key methodological aspects of drug development in statistics

Requirements:

• MS/MSc in Statistics (or related quantitative field) with at least 8+ years post-degree experience
• Experience preparing regulatory documents and interacting with regulators
• Solid tumor Oncology experience required
• Experience supporting Oncology Clinical development in pharmaceutical, biotech, or CRO settings
• Demonstrated delivery of fit-for-purpose statistical solutions
• Proficiency in R and/or Python; working knowledge of SAS is a plus
• Strong communication and stakeholder-management skills, with demonstrated ability to influence across functions in a matrix environment
• Highly organized, self-directed, and able to manage multiple priorities across projects

Preferred Qualifications:

• PhD preferred with minimum of 8+ years post-degree experience
• Lung/NSCLC experience strongly preferred
• Hands-on expertise in statistical modeling and innovative design and methods (e.g., Bayesian approaches)
• Thorough knowledge of the drug development process including late-phase development, registration activities, and oncology regulatory expectations
• Familiarity with causal inference and/or AI/ML methods, and interest in applying these approaches (when appropriate) to clinical and/or real-world data
• Demonstrated ability to lead or make major contributions to department, organizational and/or industry-wide initiatives, through effective communication and influence