Senior Principal Statistician, Early Development

Roche•South San Francisco, CA

6d•Onsite

About The Position

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 at Roche. We 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. Together, we bring scientific rigor, technical innovation, and strategic insight to shape the future of early development and deliver better outcomes for patients. Early Development Biometrics is also home to the Statistical Methodology group, which enables the most impactful use of quantitative methodology across PDD through internal consultation, external collaboration, and continuous capability building; and Visual Analytics, which creates and maintains interactive dashboards that drive high-quality Medical Data Review (MDR) and safety signal detection, aligned with Risk-Based Quality Management (RBQM) principles and Critical-to-Quality (CtQ) endpoints.

Requirements

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
Demonstrate independent thinking and make decisions based on sound principles
Excellent strategic agility including problem-solving and critical thinking, with agility that extends beyond the technical domain
Respect for cultural differences when interacting with colleagues in the global workplace
Excellent verbal and written communication skills in presentation and writing, with the ability to explain complex technical concepts in clear language

Nice To Haves

Experience leading disease area statistical strategy or acting as a statistical representative in enterprise-level initiatives across Clinical Development, Clinical Pharmacology, Translational Medicine, Regulatory, and Biomarker teams
Experience leading disease area statistical strategy or acting as a statistical representative in enterprise-level initiatives
Familiarity with AI/ML, real-world data, or novel data sources in early-phase analytics
Contributions to external working groups, scientific collaborations, or published statistical innovation in early development

Responsibilities

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 a 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