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Lead Statistical Analyst Jobs in California (NOW HIRING)

Senior Statistician

South San Francisco, CA ยท On-site

$136K - $254K/yr

As trusted analytical partners in end-to-end drug development, Biostatistics leverages data to ... You independently lead statistical input into clinical trial design, aligning with scientific ...

$127K - $236K/yr

Lead technical review of statistical analysis products. Support failure investigations. Lead or direct proposal efforts. Identify and lead discipline initiatives and coordination meetings. * Expertly ...

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Lead Statistical Analyst information

What does a lead statistical analyst do?

A Lead Statistical Analyst oversees the design, execution, and interpretation of complex statistical analyses for an organization. They are responsible for leading a team of analysts, ensuring data integrity, selecting appropriate statistical methods, and communicating findings to stakeholders. Their work often supports decision-making in areas like business strategy, research, or product development. The role also involves mentoring junior analysts and collaborating with other departments to meet organizational goals.

What are the key skills and qualifications needed to thrive as a lead statistical analyst, and why are they important?

To thrive as a Lead Statistical Analyst, you need advanced statistical knowledge, expertise in data analysis, and a degree in statistics, mathematics, or a related field, often with experience in leadership roles. Proficiency with statistical software like SAS, R, Python, and familiarity with data visualization tools and database management systems is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex data and guiding teams. These abilities ensure accurate analysis, actionable insights, and successful collaboration on data-driven projects.

What are some common challenges lead statistical analysts face when overseeing data projects, and how can they address them?

Lead Statistical Analysts often encounter challenges such as ensuring data integrity across multiple sources, managing tight project deadlines, and communicating complex statistical findings to non-technical stakeholders. Addressing these issues typically involves establishing robust data validation processes, setting clear project milestones, and collaborating closely with both data teams and business units. Strong leadership and effective communication skills are essential for navigating these challenges while maintaining high-quality analysis and fostering team collaboration.

What cities in California are hiring for Lead Statistical Analyst jobs?

Cities in California with the most Lead Statistical Analyst job openings:

Infographic showing various Lead Statistical Analyst job openings in California as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Principal Statistical Analyst

Redwood City, CA โ€ข Hybrid

Full-time

Re-posted 28 days ago


Job description

The Opportunity:

Position requires 14+ years of Statistical Programming experience with exploratory-stage oncology clinical trials, providing programming support and oversight of one or more clinical programs (early or late phase) within Statistical Programming function. In addition to hands-on Programming, this position requires providing oversight and programming support and guidance for internal deliverables and regulatory submissions while ensuring conformance to CDISC standards and submission guidelines. Based on company needs, this position will be required to lead one or more early Phase or late phase studies/programs. Specific responsibilities include:

  • Effective collaborating with cross functional teams to provide programming timelines for various deliverables.

  • Provide SAS Programming technical support and guidance to programming team.

  • Oversight/participation in any internal/mock or regulatory authority audits.

  • Timeline and vendor management for deliverables, including submission-related activities, ย complying with regulatory standards (e.g., FDA 21 CFR Part 11, GxP).

  • Oversee the programming support for relevant deliverables, such as Investigator Brochures, publications, US and ex-US regulatory submissions, including CDISC compliant datasets (SDTM, ADaM) and data documentation, Reviewer's Guide, TLFs, Statistical Analysis Plans (study specific, ISS, ISE, Exposure-Response), blank and annotated CRFs, and actual patient CRFs.

  • Hands-on programming and management of in-house deliverables including but not limited to Dose Committee meetings, Board of Director meetings, Exploratory Analysis, etc.

  • Oversight and Verification Review of documents, spreadsheets, slides for in-house presentations and external publications.

Titles may vary based on candidate experience.

Required Skills, Experience and Education:

  • 14+ years of Statistical Programming experience with early or late phase oncology trial studies.

  • BS/BA degree or other suitable qualification with relevance to the field.

  • Experience leading one or more statistical programming contractors, and programming vendors.

  • Proficiency in providing hands-on SAS Programming support for production or validation of analysis datasets, tables, listings and figures.

  • Demonstrated ability to multi-task, prioritize options, anticipate challenges, and execute goals as a member of an interdisciplinary team is extremely important.

Preferred Skills:

  • A demonstrable record of strong leadership and teamwork.

  • Thrives in a collaborative team setting and is driven by a desire to deploy innovative approaches and technologies in a high energy environment.

  • Experience working in a small to mid sized biotech/pharma environment.

  • Experience collaborating on development of processes, SOPs and guidance documents for the Statistical Programming function.ย 

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