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Director Statistical Programming Jobs in San Ramon, CA

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 ...

Director of Biostatistics

San Mateo, CA ยท Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Director of Biostatistics

Oakland, CA ยท Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Director of Biostatistics

Concord, CA ยท Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

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Director Statistical Programming information

See San Ramon, CA salary details

$171.5K

$313.1K

$384.4K

How much do director statistical programming jobs pay per year?

As of Sep 10, 2026, the average yearly pay for director statistical programming in San Ramon, CA is $313,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $291,100.00 and $360,400.00 per year, depending on experience, location, and employer.

What is 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 does a director 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 key skills and qualifications needed to thrive as a director statistical programming?

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 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 are the most commonly searched types of Statistical Programming jobs in San Ramon, CA?

The most popular types of Statistical Programming jobs in San Ramon, CA are:

What are popular job titles related to Director Statistical Programming jobs in San Ramon, CA?

For Director Statistical Programming jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Director Statistical Programming jobs in San Ramon, CA look for?

The top searched job categories for Director Statistical Programming jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Director Statistical Programming jobs?

Cities near San Ramon, CA with the most Director Statistical Programming job openings:

Infographic showing various Director Statistical Programming job openings in San Ramon, CA as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $313,070 per year, or $150.5 per hour.

Associate Director, Statistical Programming

Redwood City, CA โ€ข Hybrid

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, 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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