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Manager Statistical Programming Jobs in California

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Manager Statistical Programming information

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$83.4K

$145.4K

$245.7K

How much do manager statistical programming jobs pay per year?

As of Sep 9, 2026, the average yearly pay for manager statistical programming in California is $145,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,400.00 and $157,900.00 per year, depending on experience, location, and employer.

What is a manager statistical programming?

A Manager Statistical Programming oversees a team of statistical programmers who support clinical trials and research by developing, validating, and maintaining statistical programs. They ensure compliance with regulatory requirements, manage project timelines, and collaborate with statisticians, data managers, and other stakeholders. This role requires strong programming skills in SAS or other statistical software, leadership abilities, and expertise in clinical data standards such as CDISC.

What are the typical daily responsibilities of a manager statistical programming?

As a Manager Statistical Programming, your daily responsibilities usually include overseeing a team of statistical programmers, coordinating the development and validation of statistical programs for clinical trial data analysis, and ensuring deliverables meet regulatory and company quality standards. You will often interact with biostatisticians, data managers, and clinical teams to align programming outputs with study goals. Additionally, you may review project timelines, allocate resources, mentor junior programmers, and contribute to process improvement initiatives. This multifaceted role requires balancing technical oversight with leadership and interdepartmental communication.

What are the key skills and qualifications needed to thrive in the manager statistical programming position, and why are they important?

To excel as a Manager Statistical Programming, you need a solid background in statistics, programming (such as SAS, R, or Python), and experience with clinical trial data management, often supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory guidelines (e.g., FDA, ICH), data standards such as CDISC, and certifications in relevant programming languages or clinical data processes are highly beneficial. Strong leadership, project management, and effective communication skills are essential for guiding teams and collaborating with cross-functional departments. These skills enable the manager to deliver high-quality statistical programming deliverables, ensure regulatory compliance, and drive team performance in a deadline-driven environment.

What are the most commonly searched types of Statistical Programming jobs in California?

The most popular types of Statistical Programming jobs in California are:

What are popular job titles related to Manager Statistical Programming jobs in California?

For Manager Statistical Programming jobs in California, the most frequently searched job titles are:

What job categories do people searching Manager Statistical Programming jobs in California look for?

The top searched job categories for Manager Statistical Programming jobs in California are:

What cities in California are hiring for Manager Statistical Programming jobs?

Cities in California with the most Manager Statistical Programming job openings:

Manager Statistical Programming jobs near you
Infographic showing various Manager Statistical Programming job openings in California as of September 2026, with employment types broken down into 69% Full Time, 30% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $145,363 per year, or $69.9 per hour.

Associate Director, Statistical Programming

Redwood City, CA • Hybrid

Revolution Medicines
See more jobs at Revolution Medicinesexternal

Full-time

Re-posted 29 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. 

    #LI-Hybrid  #LI-DN1

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