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Clinical Statistical Programmer Jobs in California

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Clinical Statistical Programmer information

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How much do clinical statistical programmer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for clinical statistical programmer in California is $53.47, according to ZipRecruiter salary data. Most workers in this role earn between $33.94 and $80.43 per hour, depending on experience, location, and employer.

What are some common challenges faced by clinical statistical programmers when working with clinical trial data?

Clinical Statistical Programmers often encounter challenges such as handling large and complex datasets, ensuring data integrity, and adhering to strict regulatory guidelines (like CDISC standards). Collaborating closely with biostatisticians, data managers, and clinical teams is essential to resolve data discrepancies and meet tight project deadlines. Staying updated on evolving regulatory requirements and software tools is also vital to maintain high-quality deliverables in a fast-paced environment.

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

To thrive as a Clinical Statistical Programmer, you need strong proficiency in statistical programming languages (such as SAS or R), a background in statistics or life sciences, and familiarity with clinical trial processes. Experience with CDISC standards (SDTM, ADaM), regulatory submission requirements, and version control systems is highly valued. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and ensuring data quality. These skills ensure the accurate analysis and reporting of clinical data, which is critical for regulatory compliance and successful clinical trial outcomes.

What does a clinical statistical programmer do?

A Clinical Statistical Programmer is responsible for managing and analyzing clinical trial data using statistical software, such as SAS or R. Their primary tasks include creating datasets, programming statistical analyses, and generating tables, listings, and figures for clinical study reports. They work closely with biostatisticians and clinical research teams to ensure data accuracy and regulatory compliance. Their work is essential for supporting submissions to regulatory agencies and for making data-driven decisions in clinical research.

What does a clinical statistical programmer do?

The job duties of a clinical statistical programmer involve collecting data, performing statistical analysis, and analyzing data sets according to the needs of their employer or client. Your responsibilities in this career may involve using SAS programming to create and analyze data sets during clinical trials or other clinical experiments and studies. You may also be involved in performing data integration for reports following clinical research or statistical analysis for quality control (QC).

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Infographic showing various Clinical Statistical Programmer job openings in California as of July 2026, with employment types broken down into 2% As Needed, 72% Full Time, 19% Part Time, 1% Temporary, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $111,219 per year, or $53.5 per hour.

Associate Principal Statistical Analyst

Revolution Medicines

Redwood City, CA โ€ข Hybrid

Full-time

Re-posted 4 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.

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