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Director Statistical Programming Jobs in California

Sr Manager, Statistical Programming

Foster City, CA ยท On-site

$169.32K - $219.12K/yr

... direct impact. We believe every employee deserves a great leader. People Leaders are the ... Statistical programmers work collaboratively with internal colleagues and external vendors to ...

Sr Manager, Statistical Programming

Foster City, CA ยท On-site

$169.32K - $219.12K/yr

... direct impact. We believe every employee deserves a great leader. People Leaders are the ... Statistical programmers work collaboratively with internal colleagues and external vendors to ...

SVP Biometrics

San Diego, CA ยท On-site +1

Direct experience leading and working in Biostatistics required as well as experience leading Statistical Programming and/or Clinical Data Management. * Extensive knowledge of clinical research ...

Direct experience leading and working in Biostatistics required as well as experience leading Statistical Programming and/or Clinical Data Management. * Extensive knowledge of clinical research ...

Direct experience leading and working in Biostatistics required as well as experience leading Statistical Programming and/or Clinical Data Management. * Extensive knowledge of clinical research ...

Direct experience leading and working in Biostatistics required as well as experience leading Statistical Programming and/or Clinical Data Management. * Extensive knowledge of clinical research ...

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Showing results 1-20

Director Statistical Programming information

See California salary details

$151.5K

$276.5K

$339.5K

How much do director statistical programming jobs pay per year?

As of May 30, 2026, the average yearly pay for director statistical programming in California is $276,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $257,100.00 and $318,300.00 per year, depending on experience, location, and employer.

What Is the Job of a Director Statistical Programming?

The job of a director of statistical programming oversees the development and implementation of SAS programs to produce statistical analysis datasets. In this career, your responsibilities include managing the team that generates tables and graphs using the SAS programs for applications such as clinical studies. Other duties include participating in the planning and review of statistical analysis and studying reports, abstracts, and manuscripts as required. You collaborate with project leads to contribute to department operations and standards, such as CDISC for clinical research.

What are the key skills and qualifications needed to thrive as a Director of Statistical Programming, and why are they important?

To thrive as a Director of Statistical Programming, you need advanced expertise in statistical analysis, programming languages such as SAS or R, and a strong background in clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory submission processes, CDISC standards, and project management tools is essential, as are relevant certifications like SAS Certified Professional. Leadership, effective communication, and strategic thinking are key soft skills for managing teams and collaborating across departments. These skills ensure high-quality data outputs, regulatory compliance, and successful execution of complex clinical development projects.

How does a Director of Statistical Programming typically collaborate with cross-functional teams in a pharmaceutical or biotech company?

A Director of Statistical Programming regularly works with biostatistics, clinical data management, regulatory affairs, and medical writing teams to ensure that statistical deliverables meet project timelines and regulatory requirements. They coordinate programming efforts across multiple studies, provide leadership and mentorship to programming staff, and help resolve technical or resource-related challenges. Effective collaboration is essential to streamline workflows, maintain data integrity, and ensure clear communication of statistical results within the organization.

What does a Director of Statistical Programming do?

A Director of Statistical Programming oversees teams responsible for the programming and analysis of clinical trial data, ensuring the accuracy and integrity of statistical outputs. They set departmental strategies, manage resources, and ensure compliance with regulatory requirements and industry standards. This role also involves collaborating with other departments, such as biostatistics and clinical operations, to support the successful delivery of statistical analyses for drug development and regulatory submissions. They play a key leadership role in mentoring staff and advancing programming processes and technologies.
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 Director Statistical Programming jobs in California? For Director Statistical Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Director Statistical Programming jobs in California look for? The top searched job categories for Director Statistical Programming jobs in California are:
What cities in California are hiring for Director Statistical Programming jobs? Cities in California with the most Director Statistical Programming job openings:
Infographic showing various Director Statistical Programming job openings in California as of May 2026, with employment types broken down into 7% As Needed, 83% Full Time, 7% Part Time, 2% Contract, and 1% Summer. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution, with an average salary of $276,479 per year, or $132.9 per hour.
Associate Principal Statistical Analyst

Associate Principal Statistical Analyst

Revolution Medicines

Redwood City, CA โ€ข Hybrid

Other

Posted 22 days ago


Job description

The Opportunity:

Position requires about 10-14 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 direct programming and technical oversight of one or more studies, this position may require assistance providing technical support and guidance during regulatory submissions while ensuring conformance to CDISC standards and submission guidelines. Titles may vary based on candidate experience. Based on company needs, this position may be required to lead an early Phase or late phase study or program. Specific responsibilities include:

  • Provide technical oversight of statistical programming resources including contractors and CROs.

  • Provide mentorship to future leaders to help learn and execute on RevMed core values.

  • Ensure quality and timely delivery of analysis for statistical programming deliverables.

  • Provide solutions by analyzing issues and problems in complex situations.

  • Ensure accuracy of clinical trial results for internal and external audiences (e.g., regulatory authorities, academic community, and healthcare providers) via QC of documents with clinical data.

  • Ensure that the statistical programming process conforms to the SOPs and regulatory standards where applicable.

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

  • Programming support for deliverables, such as Dose Committee meetings, Investigator Brochures, publications/presentations, US, and ex-US regulatory submissions.

  • Proficiency in regulatory standards and compliance regulations including CDISC compliance (SDTM, ADaM, define.xml, Reviewer's Guides, etc.).

Required Skills, Experience and Education:

  • 10-14 years of Statistical Programming experience in biotechnology or pharmaceutical industry.

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

  • Direct statistical programming experience for early or late-phase clinical trials to support production/verification 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:

  • Early or late-stage oncology clinical trials.

  • 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.ย 

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