Senior Principal Statistician, Early Development (Senior Director Level)

Genentech
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Location
South San Francisco
Job Type
Full-time
Posted
July 1, 2026
Views
6
Salary Range
$172k - $319k USD

Job Description

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.

The Opportunity:

TheEarly Development Senior Prinicpal Statisticianis 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 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

  • You serve as a primary statistical advisor for therapeutic area or disease area strategy, shaping portfolio decisions through innovative design and data interpretation approaches

  • You 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

  • You represent the function in senior governance discussions, driving decisions on dose or regimen optimization, early investment, and progression to later stages

  • You co lead cross functional initiatives to improve early development statistical strategy and operational excellence, including standardization of adaptive design approaches and decision making frameworks

  • You guide the statistical content of strategic regulatory engagements (e.g., EMA Scientific Advice, FDA EoP1) and author key statistical components of submission packages

  • You 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

  • You actively contribute to internal innovation by proposing and evaluating new methods, supporting capability building, and aligning with enterprise level modeling and AI/ML efforts

Who You Are:

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

  • You bring a minimum of 12 years of experience in clinical trial statistics, including advanced contributions to early development strategy

  • You have recognized expertise in applying advanced statistical design and modeling approaches (e.g., Bayesian adaptive trials, model-based decision-making) in early phase clinical development

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.

The Opportunity:

TheEarly Development Senior Prinicpal Statisticianis 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 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

  • You serve as a primary statistical advisor for therapeutic area or disease area strategy, shaping portfolio decisions through innovative design and data interpretation approaches

  • You 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

  • You represent the function in senior governance discussions, driving decisions on dose or regimen optimization, early investment, and progression to later stages

  • You co lead cross functional initiatives to improve early development statistical strategy and operational excellence, including standardization of adaptive design approaches and decision making frameworks

  • You guide the statistical content of strategic regulatory engagements (e.g., EMA Scientific Advice, FDA EoP1) and author key statistical components of submission packages

  • You 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

  • You actively contribute to internal innovation by proposing and evaluating new methods, supporting capability building, and aligning with enterprise level modeling and AI/ML efforts

Who You Are:

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

  • You bring a minimum of 12 years of experience in clinical trial statistics, including advanced contributions to early development strategy

  • You have recognized expertise in applying advanced statistical design and modeling approaches (e.g., Bayesian adaptive trials, model-based decision-making) in early phase clinical development

  • You have a proven record of leadership in high impact cross functional projects or initiatives across multiple molecules or disease areas

  • You have outstanding communication skills with the ability to influence senior clinical and regulatory stakeholders

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

  • You demonstrate excellent strategic agility including problem solving and critical thinking, with agility that extends beyond the technical domain

  • You demonstrate respect for cultural differences when interacting with colleagues in the global workplace

  • You have excellent verbal and written communication skills in presentation and writing, with the ability to explain complex technical concepts in clear language

Preferred:

  • 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

Relocation benefits are not available for this posting

The expected salary range for this position based on the primary location of California is $171,600 - $318,600. 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

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this formAccommodations for Applicants.

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Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The position is located in South San Francisco at Genentech. The job posting does not specify whether the work-mode policy is remote, hybrid, or on-site.
What are the required qualifications and experience level for this role?
You must hold a PhD or MSc in Statistics, Biostatistics, or a closely related quantitative field. Additionally, you need a minimum of 12 years of experience in clinical trial statistics, including advanced contributions to early development strategy.
What are the key responsibilities of this position?
You will lead the statistical design and strategy of complex early-phase studies, serve as a primary statistical advisor for therapeutic or disease area strategies, guide the statistical content of strategic regulatory engagements, and provide technical leadership to statisticians and cross-functional colleagues.
What is the salary range for this role?
The expected salary range for this position is $171,600 - $318,600, based on the primary location of California. Actual pay is determined by experience, qualifications, geographic location, and other job-related factors. A discretionary annual bonus may also be available.
Is relocation support or visa sponsorship offered for this position?
Relocation benefits are not available for this job posting. The provided text does not mention whether visa sponsorship is or is not offered.

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Job Information

Source: workday
AI Relevance: 95/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: South San Francisco
Skills & Tags:
genentech pharma

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