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Senior Statistical Programmer Analyst Jobs in California

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Senior Statistical Programmer Analyst information

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$81.4K

$126.6K

$165.3K

How much do senior statistical programmer analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior statistical programmer analyst in California is $126,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $146,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Statistical Programmer Analyst, you need advanced programming skills in SAS or R, a strong background in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Experience with clinical trial data, CDISC standards (SDTM, ADaM), and regulatory submission processes, along with certifications like SAS Certified Professional, are highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication enable you to manage complex datasets and collaborate with cross-functional teams. These combined skills ensure accurate data analysis, regulatory compliance, and successful delivery of biostatistical projects in the pharmaceutical or clinical research industry.

What does a senior statistical programmer analyst do?

A Senior Statistical Programmer Analyst is responsible for designing, developing, and validating statistical programs that analyze clinical trial or research data. They work closely with biostatisticians and data managers to ensure data accuracy, integrity, and compliance with regulatory standards. Their work includes creating tables, listings, and figures (TLFs), developing analysis datasets, and automating data processes. Senior Statistical Programmer Analysts often mentor junior programmers and play a key role in quality control and project delivery within pharmaceutical, biotechnology, or clinical research organizations.

How does a senior statistical programmer analyst typically collaborate with cross-functional teams in clinical research projects?

As a Senior Statistical Programmer Analyst, you will regularly collaborate with biostatisticians, data managers, clinical research associates, and project managers. Your main responsibility is to translate statistical analysis plans into programming code (often using SAS or R), ensuring datasets and outputs meet regulatory standards. You’ll participate in team meetings to clarify study requirements, address data or programming issues, and ensure timelines are met. Strong communication and documentation skills are essential, as you often serve as a bridge between technical and non-technical team members.
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Infographic showing various Senior Statistical Programmer Analyst job openings in California as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $126,613 per year, or $60.9 per hour.

Principal Statistical Analyst

Revolution Medicines

Redwood City, CA • Hybrid

Full-time

Re-posted 25 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,  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. 

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