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Associate Director Statistical Programming Jobs in California

Erasca

SVP Biometrics

San Francisco, 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 ...

Erasca

SVP Biometrics

San Diego, CA · 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 ...

Erasca

SVP Biometrics

San Diego, 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 ...

Erasca

SVP Biometrics

San Diego, 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 ...

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All JobsAssociate Director Statistical Programming JobsAssociate Director Statistical Programming Jobs in California

Associate Director Statistical Programming information

See California salary details

$151.5K

$276.5K

$339.5K

How much do associate director statistical programming jobs pay per year?

As of Jun 27, 2026, the average yearly pay for associate 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 are the key skills and qualifications needed to thrive as an Associate Director Statistical Programming, and why are they important?

To thrive as an Associate Director Statistical Programming, you need expertise in statistical programming, clinical trial data standards, and a degree in statistics, mathematics, or a related field, often with several years of experience in the pharmaceutical or biotechnology industry. Proficiency in programming languages such as SAS and R, knowledge of CDISC standards (SDTM, ADaM), and familiarity with regulatory submission requirements are typically required. Strong leadership, project management, and communication skills are vital for guiding teams and collaborating with cross-functional partners. These skills and qualities ensure the delivery of high-quality, compliant statistical outputs that support clinical development and regulatory approval.

How to become a director of statistical programming?

To become a director of statistical programming, professionals typically need extensive experience in statistical programming, often 8-10 years, with a strong background in biostatistics, data analysis, and programming languages like SAS or R. Advancing usually requires demonstrating leadership skills, managing teams, and understanding regulatory requirements; obtaining relevant certifications and a master's or doctoral degree can also support career progression.

What does an Associate Director of Statistical Programming do?

An Associate Director of Statistical Programming leads teams responsible for the design, development, and validation of statistical programs used in the analysis of clinical trial data. They oversee the creation of datasets, tables, listings, and figures that support regulatory submissions and scientific publications. In addition to technical expertise, this role involves managing timelines, ensuring compliance with regulatory standards, and collaborating with cross-functional teams such as biostatistics, data management, and clinical operations.

Is an associate director a high level position?

An Associate Director in statistical programming is considered a senior-level position within an organization, often responsible for overseeing project teams, managing timelines, and ensuring regulatory compliance. It typically requires several years of experience and advanced skills in programming languages like SAS or R, along with leadership abilities. This role is generally regarded as a high-level management position in the industry.

How much does a statistical programmer earn?

A statistical programmer's salary varies based on experience, location, and industry, but typically ranges from $70,000 to $120,000 annually. Senior roles or those with specialized skills in programming languages like SAS or R can earn higher salaries, especially in the pharmaceutical or biotech sectors.

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

As an Associate Director of Statistical Programming, you will work closely with biostatisticians, clinical data managers, and regulatory affairs professionals to ensure that statistical analyses and data outputs meet project and regulatory requirements. You’ll often lead programming teams, coordinate timelines, and help translate statistical analysis plans into executable code. Regular meetings and clear communication are key, as you’ll be expected to provide technical guidance and ensure data integrity across multiple studies or programs. This role often requires balancing hands-on programming with strategic leadership and mentorship responsibilities.

How much does a Pfizer statistical programming manager make?

A Pfizer statistical programming manager typically earns between $120,000 and $160,000 annually, depending on experience, location, and level within the company. Compensation may also include bonuses and benefits, and strong skills in SAS, R, or Python are often required for the role.

What is the difference between Associate Director Statistical Programming vs Statistical Programmer?

AspectAssociate Director Statistical ProgrammingStatistical Programmer
Required CredentialsBachelor's or Master's in Biostatistics, Statistics, or related field; experience in clinical trial programmingBachelor's or Master's in similar fields; entry to mid-level experience
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsPerforms programming tasks, supports project teams, executes statistical analyses
Employer & Industry UsagePharmaceutical and biotech companies, clinical research organizationsPharmaceutical companies, CROs, biotech firms

The Associate Director Statistical Programming typically oversees programming teams and manages project deliverables, requiring leadership skills and extensive experience. In contrast, the Statistical Programmer focuses on executing programming tasks under supervision. Both roles are essential in clinical research, but the Associate Director holds more managerial responsibilities and strategic oversight.

What are popular job titles related to Associate Director Statistical Programming jobs in California? For Associate Director Statistical Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Associate Director Statistical Programming jobs in California look for? The top searched job categories for Associate Director Statistical Programming jobs in California are:
What cities in California are hiring for Associate Director Statistical Programming jobs? Cities in California with the most Associate Director Statistical Programming job openings:
Associate Director Statistical Programming jobs near you
Associate Principal Statistical Analyst

Associate Principal Statistical Analyst

Revolution Medicines

Redwood City, CA • Hybrid

Other

Posted 21 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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