Principal Statistical Methodology Data Scientist

Genentech

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Quick summary

Work type
On-site
Location
South San Francisco, CA
Salary
$185,200–$343,900 / yr
Employment
Full-time
Posted
79 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k
This role $265k
$97k $370k
below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $135,283–$208,800 — the blue band above. At the midpoint, this role pays about $265k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Genentech

Genentech is a leading research-driven company dedicated to discovering and developing, manufacturing, and commercializing medicines for people with serious and life-threatening diseases.

Genentech currently has 36 open roles on FindRole.

Listed pay typically runs $146,000–$271,100 across 18 roles with salary data.

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At a glance

TL;DR · Principal Statistical Methodology Data Scientist

The Principal Statistical Methodology Data Scientist joins the Statistical Methodology team to serve as a center of excellence for consultation, education, and outreach. This role involves providing expert guidance on complex designs and analysis for study teams while leading the development of methodologies like estimand frameworks, trial simulations, and covariate adjustment strategies. You will build scalable solutions, including templates and open source software, to improve decision-making at the trial and portfolio levels. Key responsibilities include mentoring junior staff, participating in regulatory collaborations, and shaping cross-functional understanding of innovative methods. Candidates must possess a PhD in a quantitative discipline and experience with statistical computing, advanced modeling, and biomedical data. The work focuses on solving pharmaceutical development challenges through rigorous analytical insights and predictive biomarkers.

What you'll do

  • Provide expert guidance on complex study designs and analysis as a methodological thought partner.
  • Develop and institutionalize methodologies for quantitative go/no-go criteria and simulation frameworks.
  • Shape cross-functional understanding of innovative statistical methods through consultation and education.
  • Integrate regulatory trends and industry shifts into internal practices and external engagements.
  • Create scalable solutions and templates to address recurring analytical challenges across teams.
  • Drive external collaboration through active participation in consortia and regulatory-facing initiatives.
  • Mentor junior staff and set the strategic vision for statistical methodology capabilities.

What we're looking for

  • You hold a PhD in Biostatistics, Statistics, Data Science, Computer Science, or a related quantitative discipline.
  • You have 6+ years of experience designing and applying advanced analytics to complex biomedical data in clinical trial research.
  • You have deep expertise in statistical computing and advanced modeling with a track record of developing novel or custom analytical solutions.
  • You have experience mentoring others and contributing to internal standards, strategy, or capability development.
  • You have experience developing novel or fit-for-purpose analytical methods for different types of datasets (preferred).
  • You have demonstrated leadership in designing scalable workflows or frameworks adopted across multiple projects or teams (preferred).
  • You have a track record of influencing portfolio- or program-level decisions through rigorous analytical insights (preferred).
  • You have publications, presentations, or internal white papers that showcase innovative analytical thinking (preferred).

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