Senior Principal Statistician, Early Development; Senior Director Level

Overview

This role is in Early Development Biometrics (EDB), a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across early clinical development  partner across Biostatistics, Analytical Data Science, and Data Management to enable data‑driven decision‑making from first‑in‑human through proof‑of‑concept studies. As trusted partners in early development, we design efficient and innovative clinical trials, apply rigorous statistical methods, and implement high‑quality programming and analytical solutions to accelerate timelines, de‑risk development, and increase the probability of technical success.

Our integrated teams operate with agility and scientific depth, supporting exploratory analyses, early regulatory engagements, and complex data‑generation needs across therapeutic areas. We bring scientific rigor, technical innovation, and strategic insight to shape the future of early development and deliver better outcomes for patients.

The Early Development Senior Principal Statistician is a critical partner in the design and analysis of exploratory clinical studies, applying statistical expertise to guide early‑phase trial strategy, design, and interpretation. This role ensures scientific rigor while maintaining the flexibility needed for hypothesis generation and signal detection.

• Contribute to protocol design, develop statistical analysis plans, and analyze complex high‑dimensional data to inform early go/no‑go decisions and regulatory interactions.
• Shape the early clinical narrative by ensuring data are robust, interpretable, and aligned with the evolving development strategy.
• Lead the statistical design and strategy of the most complex early phase studies and programs (e.g., first‑in‑class, seamless Phase I/II trials, or novel platform designs), ensuring alignment with exploratory development goals and translational hypotheses.
• Serve as primary statistical advisor for therapeutic area or disease area strategy, shaping portfolio decisions through innovative design and data interpretation approaches.
• Anticipate and address methodological challenges in exploratory clinical research, guiding the integration of multimodal data (e.g., biomarkers, imaging, real‑world data) into early trial design and analysis.
• Represent the function in senior governance discussions, driving decisions on dose or regimen optimization, early investment, and progression to later stages.
• Co‑lead cross‑functional initiatives to improve early development statistical strategy and operational excellence, including standardization of adaptive design approaches and decision‑making frameworks.
• Guide the statistical content of strategic regulatory engagements (e.g., EMA Scientific Advice, FDA EoP1) and author key statistical components of submission packages.
• Provide technical leadership to statisticians and cross‑functional colleagues, acting as a recognized expert in early development design and a senior advisor across studies or therapeutic area teams.
• Actively contribute to internal innovation by proposing and evaluating new methods, supporting capability building, and aligning with enterprise‑level modeling and AI/ML efforts.

• Hold a PhD or MSc in Statistics, Biostatistics, or a closely related quantitative field.
• Minimum of 12 years of experience in clinical trial statistics, including advanced contributions to early development strategy.
• Recognized expertise in applying advanced statistical design and modeling approaches (e.g., Bayesian adaptive trials, model‑based decision‑making) in early phase clinical development.
• Proven record of leadership in high‑impact cross‑functional projects or initiatives across multiple molecules or disease areas.
• Outstanding communication skills with the ability to influence senior clinical and regulatory stakeholders.
• Demonstrated independent thinking and decision‑making based on sound principles.
• Excellent strategic agility, problem‑solving, and critical thinking extending beyond the technical domain.
• Respect for cultural differences when interacting with colleagues in the global workplace.
• Excell…