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Data Scientist

San Francisco, CA · On-site

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our ... Your expertise in data analysis, machine learning, and statistical modeling will enable you to ...

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Statistical Data Scientist information

What does a statistical data scientist do?

A Statistical Data Scientist uses statistical methods and computational tools to analyze large and complex datasets, uncover trends, and generate actionable insights for organizations. They design experiments, build predictive models, and interpret data to solve business problems or advance scientific research. Their work often involves cleaning and preparing data, choosing appropriate statistical techniques, and communicating findings to stakeholders through reports and visualizations.

What are the key skills and qualifications needed to thrive as a statistical data scientist?

To thrive as a Statistical Data Scientist, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience using machine learning libraries and statistical software such as SAS or SPSS are highly valuable. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These competencies ensure that insights derived from data are accurate, actionable, and effectively inform business or research decisions.

How does a statistical data scientist typically collaborate with cross-functional teams on data-driven projects?

Statistical Data Scientists often work closely with cross-functional teams, including engineers, business analysts, and domain experts, to translate complex data into actionable insights. They play a key role in designing experiments, developing statistical models, and ensuring data integrity. Effective communication is essential, as they must explain technical findings to non-technical stakeholders and adapt their analyses to support business objectives. Regular collaboration through meetings, code reviews, and presentations is common, making teamwork and adaptability vital skills in this role.

What is the difference between Statistical Data Scientist vs Data Analyst?

AspectStatistical Data ScientistData Analyst
Required CredentialsDegree in Statistics, Data Science, or related field; proficiency in statistical programmingDegree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentResearch-focused, developing models, advanced analyticsBusiness-focused, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, healthcare

Statistical Data Scientists focus on building complex models and advanced analytics, often requiring specialized statistical knowledge. Data Analysts primarily interpret data, create reports, and support decision-making with descriptive analytics. While both roles require strong analytical skills and familiarity with statistical tools, Statistical Data Scientists typically handle more complex modeling tasks and have a deeper focus on statistical theory.

What are popular job titles related to Statistical Data Scientist jobs in California?

For Statistical Data Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Statistical Data Scientist jobs in California look for?

The top searched job categories for Statistical Data Scientist jobs in California are:

What cities in California are hiring for Statistical Data Scientist jobs?

Cities in California with the most Statistical Data Scientist job openings:

Statistical Data Scientist jobs near you
Infographic showing various Statistical Data Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Principal Statistical Methodology Data Scientist

Genentech, Inc.

South San Francisco, CA • On-site

$185K - $343K/yr

Full-time

Re-posted yesterday

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

12th of 86 rated pharmaceutical

Job description

The Position
The Statistical Methodology Data Scientists play a strategic role in enabling the adoption of fit-for-purpose statistical methodologies to drive scientific rigor and decision-making excellence. This team serves as a center of excellence focused on consultation, education, and outreach to ensure that innovative and appropriate methods are applied across programs and portfolios.
Statistical Methodology Data Scientists collaborate closely with project teams, biostatisticians, and cross-functional stakeholders to identify methodological needs, prototype solutions (e.g., estimand frameworks, trial simulations, covariate adjustment strategies), and support scalable adoption through training, templates, and open source software/tools. They engage in portfolio-level analyses, scenario modeling, and quantitative frameworks that inform go/no-go decisions and optimize clinical strategy.
The team also maintains key external relationships, representing the company in consortia, scientific working groups, and regulatory collaborations to stay at the forefront of methodological advances in the pharmaceutical industry.
The Opportunity:
As a Principal Statistical Methodology Data Scientist you will:
  • You serve as a methodological thought partner to study teams, providing expert guidance on complex design and analysis across programs
  • You lead the development and institutionalization of methodologies that improve decision-making at trial and portfolio levels (e.g., quantitative go/no-go criteria, simulation frameworks, model-based projections)
  • You shape cross-functional understanding of innovative statistical methods through consultation, publications, and leadership of education efforts
  • You anticipate regulatory trends and industry shifts, integrating relevant methodologies into internal practices and guiding external engagements
  • You act as a connector across teams, surfacing recurring challenges and co-creating scalable solutions to elevate analytical excellence in the organization
  • You drive external collaboration through active participation in consortia, joint working groups, or regulatory-facing initiatives
  • You mentor junior staff and influence the strategic direction of Statistical Methodology through thought leadership, vision-setting, and capability building

Who you are:
  • 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 bring deep expertise in statistical computing and advanced modeling, with a track record of developing novel or custom analytical solutions
  • You are recognized as a technical expert and thought partner within the organization or broader field
  • You have experience mentoring others and contributing to internal standards, strategy, or capability development
  • You show respect for cultural differences when interacting with colleagues in the global workplace

Preferred:
  • Experience developing novel or fit-for-purpose analytical methods for different types of datasets
  • Demonstrated leadership in designing scalable workflows or frameworks adopted across multiple projects or teams
  • Track record of influencing portfolio- or program-level decisions through rigorous analytical insights
  • Publications, presentations, or internal white papers that showcase innovative analytical thinking
  • Thought leadership in emerging data science areas relevant to pharmaceutical development (e.g., AI/ML in translational research, real-world data integration, predictive biomarkers)

Relocations Benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $185,200 - $343,900. 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
#PDD
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

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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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