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Principal Statistician Jobs (NOW HIRING)

The Principal Statistical Programmer works with management to delegate tasks appropriately, track progress, and provide expert technical support to team members. In addition, the Principal ...

Job Title: Sr. Principal Statistics Job Location: Paramus, NJ Job Type: Contract * The Senior Manager in Statistics responsible for perform statistical activities in clinical trials from protocol ...

Position Summary A Principal Statistical Programmer is an expert in management, technical oversight, and quality of statistical programming activities related to the analyses of clinical trial data ...

Biostatistician

West Chester, PA · On-site

$70 - $98/hr

Principal Statistician - Real World Analytics Remote Shift Schedule: Eastern time zone - Morning - US time zone 8 hours/day Duration: 12 Months Up to 2 years Core Essential Skill sets: 1. Education:

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Principal Statistician information

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$36.5K

$109.4K

$182K

How much do principal statistician jobs pay per year?

As of Jun 10, 2026, the average yearly pay for principal statistician in the United States is $109,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What are Principal Statisticians?

Principal Statisticians are highly experienced professionals who lead statistical projects and teams, often within industries such as pharmaceuticals, healthcare, or market research. They are responsible for designing complex studies, analyzing large datasets, and ensuring the validity and accuracy of statistical results. In addition to technical expertise, Principal Statisticians provide guidance to junior staff, collaborate with cross-functional teams, and contribute to strategic decision-making. Their work is crucial in interpreting data to inform business or research outcomes.

What are the key skills and qualifications needed to thrive as a Principal Statistician, and why are they important?

To thrive as a Principal Statistician, you need advanced expertise in statistics, data analysis, and experimental design, usually backed by a master's or doctoral degree in statistics or a related field. Proficiency with statistical software such as SAS, R, and Python, as well as experience with data management systems, is essential. Strong leadership, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and convey complex findings. These skills ensure robust study design, reliable data interpretation, and informed decision-making in research or business environments.

How does a Principal Statistician typically collaborate with cross-functional teams in a clinical research setting?

A Principal Statistician frequently works alongside clinical researchers, data managers, regulatory affairs, and medical writers to ensure statistical integrity throughout a study. They play a key role in designing protocols, defining endpoints, reviewing data quality, and interpreting results for regulatory submissions. These collaborations often involve leading statistical strategy meetings, providing guidance on data analysis plans, and ensuring compliance with industry standards. Clear communication and leadership are essential, as Principal Statisticians bridge technical statistical work with broader clinical objectives.
More about Principal Statistician jobs
Who are the top companies hiring for Principal Statistician jobs? The top employers for Principal Statistician jobs are:
What states have the most Principal Statistician jobs? States with the most job openings for Principal Statistician jobs include:
Infographic showing various Principal Statistician job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $109,393 per year, or $52.6 per hour.
Principal Biostatistician

Principal Biostatistician

Genentech

South San Francisco, CA

Full-time

Posted 12 days ago


Genentech rating

9.0

Company rating: 9.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

7th of 71 rated pharmaceutical


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:

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

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 form Accommodations for Applicants.


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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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