The Senior Statistical Scientist provides advanced statistical expertise to support research, development, and operational activities across the company. This role involves designing studies, developing analytical strategies, interpreting complex data, and ensuring the scientific rigor of statistical, computational and analytical deliverables. The successful candidate will collaborate cross functionally with lab scientists, data engineers, platform engineers, computational biologists to translate data into meaningful insights that drive evidence-based decisions.
This role is based in Menlo Park, California, and will move to Sunnyvale, California in Fall 2026. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site. At our Menlo Park campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities.
Responsibilities
Lead the statistical design, analysis, and interpretation of experiments and studies supporting assay development, validation, and product performance evaluation.
Develop and implement computational and statistical models, data analysis algorithms, and quantitative tools to support research, development, and operational projects. Conduct and communicate complex statistical analyses using appropriate methodologies such as regression, mixed models, nonparametric tests, multivariate methods, and subsampling techniques.
Partner with assay scientists and data engineers to ensure appropriate experimental design and data integrity. Provide statistical input into study protocols, reports, and regulatory submission documents.
Contribute to the development of best practices and standard operating procedures for statistical analyses. Mentor junior scientists and review statistical work to ensure technical accuracy and scientific soundness. Stay current with emerging statistical methodologies, regulatory expectations, and data science innovations.
Demonstrates success in technical proficiency, creativity, collaboration with others and independent thought. Demonstrates ability to work and communicate effectively in a multi-disciplinary study team
Required Qualifications
Advanced degree (PhD or Master’s) in Statistics, Biostatistics, Bioinformatics, Applied Mathematics, or a related quantitative field.
4+ years of post-PhD or 7+ years of post-MS applying statistical and computational methods, preferably in biotechnology, pharmaceuticals, or diagnostics settings.
Strong knowledge of statistical methodologies such as experimental design, regression, fundamental probability and statistics, Bayesian methods, and multivariate techniques.
Proficiency in statistical programming R. Python is a plus.
Experience with data visualization tools.
Excellent communication skills with the ability to translate complex statistical concepts for non-technical stakeholders.
Proven ability to lead projects independently. Strong problem-solving skills, attention to detail, and ability to manage multiple projects simultaneously.
Experience with assay development, assay performance evaluation, or regulatory submissions is a plus.
The expected, full-time, annual base pay scale for this position is $156K-$187K.
Skills Required
- Advanced degree (PhD or Master's) in Statistics, Biostatistics, Bioinformatics, Applied Mathematics, or related quantitative field
- 4+ years of post-PhD or 7+ years of post-MS applying statistical and computational methods in biotechnology, pharmaceuticals, or diagnostics
- Strong knowledge of statistical methodologies such as experimental design, regression, probability and statistics, Bayesian methods, and multivariate techniques
- Proficiency in statistical programming R; Python is a plus
- Experience with data visualization tools
- Excellent communication skills to translate complex statistical concepts for non-technical stakeholders
- Proven ability to lead projects independently
- Experience with assay development, assay performance evaluation, or regulatory submissions
What the Team is Saying
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GRAIL Compensation & Benefits Highlights
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and disability insurance, with some roles noting strong employer support for HSAs on high‑deductible plans.
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Equity Value & Accessibility — New‑hire equity grants with clear vesting schedules and an active ESPP make ownership a meaningful part of total rewards, with equity described as straightforward and accessible.
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Leave & Time Off Breadth — Flexible time off policies, paid holidays, and routine company breaks (e.g., summer and winter) are highlighted across locations, with additional generous vacation allowances in the UK.
GRAIL Insights
What We Do
GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is using the power of high-intensity sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop and commercialize pioneering products.
Why Work With Us
Everything we do is guided by our mission to detect cancer early, when it can be cured. It’s the reason we’re here, and it’s no small task. The right people make all the difference. That’s why we’re looking for those who strive to share their knowledge, contribute their skills, inspire each other and commit to something bigger than themselves.
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GRAIL Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
GRAIL has a variety of work types depending on the roles. Some roles are onsite like a lab role, some are fully remote like our Galleri Sales Consultant roles. Others are hybrid with 2-3 days onsite. Typically Tuesday and Thursday.
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