Statistical Programming Associate Director

Statistical Programming Associate Director 

Introduction to role 

Are you ready to lead statistical programming that accelerates life‑changing cancer medicines to patients? Do you thrive on setting standards and guiding teams to deliver regulatory‑grade outputs at pace, while shaping how we use data to unlock earlier, better decisions? 

As Statistical Programming Associate Director, you will lead the technical and project delivery that powers our clinical development programs aimed at detecting and treating cancer earlier. You will partner closely with biostatistics, data management, clinical operations and regulatory teams to craft robust, reusable solutions and raise the bar on quality and efficiency. Your leadership will directly influence how fast and confidently we bring new treatments to people who need them most. You will be the programming voice at the table—defining approaches, anticipating risk, and driving continuous improvement across studies and portfolios. From standards and automation to vendor oversight and talent development, you will create the conditions for high‑performing teams and reliable, submission‑ready outputs that stand up to scrutiny and deliver impact. 

Accountabilities 

• Project Leadership and Delivery: Lead and direct the full scope of project delivery and/or a technical project across studies or functions, ensuring timely, high‑quality outputs that enable decisive clinical and regulatory milestones. 

• Protocol Implementation and Analysis: Translate protocols and analysis plans into robust statistical programming strategies and analysis datasets, ensuring traceability and reproducibility from raw data to results. 

• Quality Ownership and Vendor Management: Own quality for all programming deliverables; hold internal partners and external providers accountable through clear expectations, reviews and metrics; manage activities of external partners such as CROs. 

• Standards and Automation Stewardship: Drive the development, adoption and governance of programming standards and automation to improve quality, efficiency and consistency across programs. 

• Cross‑Functional Process Improvement: Lead or contribute to administrative and process improvement initiatives that remove friction, shorten cycle times and strengthen compliance. 

• Risk Management and Decision Support: Proactively identify, assess and escalate risks in complicated or novel situations; propose practical solutions and guide trade‑offs that protect timelines and scientific integrity. 

• Subject Matter Expertise and Influence: Provide authoritative programming expertise to cross‑functional teams; influence stakeholders on programming strategies, standards and regulatory expectations. 

• Methodology Innovation: Identify opportunities to improve methods and tools; pilot and scale pragmatic innovations that increase robustness and speed. 

• People Development and Mentorship: Support recruiting; provide training, coaching and mentorship to build capability and a culture of excellence. <