The Opportunity:

The Early Development 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. Responsibilities include contributing to protocol design, developing statistical analysis plans, and analyzing complex, often high-dimensional data to inform early go/no-go decisions and regulatory interactions. The Statistician helps shape the early clinical narrative by ensuring data are robust, interpretable, and aligned with the evolving development strategy.

●        You lead the statistical design of complex or high priority early phase studies, including adaptive, platform, and biomarker enriched trials

●        You champion the use of innovative methodologies, for example Bayesian designs and model based dose selection, aligned with exploratory objectives and scientific hypotheses

●        You ensure strategic alignment and quality across statistical deliverables within early phase programs, shaping the statistical framework that supports phase transitions, internal governance reviews, and regulatory interactions

●        You solve complex statistical challenges in early development using deep expertise and novel approaches, such as integrating translational data, navigating sparse or emerging datasets, and balancing speed with scientific rigor

●        You interpret and drive the narrative around emerging data, translating early signals into clear, meaningful insights for internal stakeholders and external communications

●        You own the statistical content of major early regulatory submissions, such as INDs, EMA scientific advice packages, and pre IND or end of Phase 1 meetings, ensuring clarity, integrity, and scientific robustness

●        You lead sub streams and functional contributions within disease area strategy and the integration of novel data sources, for example omics, imaging, and real world data

●        You maintain strong connectivity and collaboration with other core biometrics functions within PDD, including Biostatistics, Analytical Data Science, and Data Management, ensuring early phase analysis strategies are executable

Who You Are:

●        You hold a PhD or MSc in Statistics, Biostatistics, or a closely related quantitative field

●        You bring at least 6 years of experience in clinical trial statistics, including responsibility for study level strategy and decision making

●        You have a proven ability to lead statistical input into clinical development plans and regulatory submissions

●        You have strong expertise applying advanced statistical methods to enable data driven decision making

●        You are proficient in SAS and or R and deeply familiar with CDISC standards and evolving regulatory data requirements

●        You demonstrate independent thinking and make decisions based on sound principles

Preferred:

●        Extensive experience working in cross-functional, global early development teams, with demonstrated ability to collaborate effectively across Clinical Development, Clinical Pharmacology, Translational Medicine, Regulatory, and Biomarker teams.

●        Effective communication skills, including the ability to translate complex or exploratory statistical methodologies into actionable insights for clinical, regulatory, and non-technical audiences.

●        Experience across multiple phases of drug development, with a strong emphasis on early-phase (Phase I/II) trials, including first-in-human, dose-finding, and proof-of-concept studies.

●        Excellent communication and influencing skills, with a proven track record of shaping clinical strategy, informing go/no-go decisions, and aligning statistical strategy with program goals.

●        Demonstrated scientific leadership and mentoring within a matrixed organizational structure, including guiding junior statisticians and cross-functional colleagues on the application of innovative design and analysis techniques.

●        Strategic mindset, with the ability to assess risk, anticipate data needs, and contribute to portfolio-level decisions, including dose/regimen optimization and early investment prioritization.

●        Familiarity with innovative methods (e.g., Bayesian adaptive design, MIDD, complex modeling), and a working knowledge of evolving regulatory expectations and scientific trends relevant to early development.

Relocation benefits are not available for this posting

The expected salary range for this position based on the primary location of California is $153,300 - $284,700.  Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.  A discretionary annual bonus may be available based on individual and Company performance.  This position also qualifies for the benefits detailed at the link provided below.
Benefits