Senior Level Biostatistician Jobs
Senior level biostatistician jobs place experienced statisticians in charge of study design, analytical strategy, and the cross-functional teams that deliver results across clinical programs. Roles are concentrated in Biotechnology & Pharmaceuticals, Healthcare & Medical Services, and Consulting & Professional Services, with a 54% remote and hybrid mix, and employers like Syneos Health, Natera, and St. Jude Children's Research Hospital hiring at this level now.
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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.
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.
JOB FACTS
Job Sub Category
Statistics
Schedule
Full time
Job Type
Regular
Posted Date
Jun 11th 2026
Job ID
202605-113292
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Who's Hiring
- Syneos Health4
- Natera2
- St. Jude Children's Research Hospital2
- Fortrea1
- Genentech1
Top Industries Hiring
- Biotechnology & Pharmaceuticals7
- Healthcare & Medical Services6
- Consulting & Professional Services5
- Science & Research3
- Medical Devices1
Senior Level Biostatistician Jobs: Frequently Asked Questions
How do I get a senior level biostatistician job?
Senior level biostatistician roles go to candidates who can demonstrate ownership of statistical methodology, not just execution of it. Employers at this level look for experience leading the statistical sections of regulatory submissions, designing adaptive or complex trial protocols, and mentoring junior statisticians. A publication record, proficiency in SAS and R, and cross-functional collaboration experience all strengthen a candidacy at this stage.
Which companies hire senior level biostatisticians?
Companies hiring senior level biostatisticians right now include Syneos Health, Natera, and St. Jude Children's Research Hospital, based on current listings on Migrate Mate as of July 2026. Hiring at this level is concentrated among large pharmaceutical and medical device companies, contract research organizations, and biotech firms with active late-stage clinical pipelines.
Are there remote senior level biostatistician jobs?
Yes, remote and hybrid arrangements are common for senior level biostatisticians, reflecting the largely software-driven and documentation-heavy nature of the work. About 54% of senior level biostatistician openings are remote or hybrid as of July 2026, making location flexibility more accessible at this level than in many other scientific disciplines.
What makes a biostatistician role senior level?
A senior level biostatistician role is defined by technical ownership and organizational scope. Senior professionals independently lead the statistical analysis plans for complex or pivotal studies, make methodology decisions with regulatory consequences, and serve as the primary statistical contact for clinical and regulatory teams. They are also expected to review the work of and develop more junior biostatisticians on the team.
Which industries hire the most senior level biostatisticians?
Senior Level biostatistician roles concentrate in Biotechnology & Pharmaceuticals, Healthcare & Medical Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they rely on rigorous statistical evidence for regulatory approval, product development decisions, and outcomes research, creating sustained demand for experienced biostatisticians who can own that work end to end.