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Statistical Programming Jobs in California (NOW HIRING)

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Statistical Programming information

See California salary details

$83.4K

$145.4K

$245.7K

How much do statistical programming jobs pay per year?

As of Jul 14, 2026, the average yearly pay for 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 are some common challenges faced by statistical programmers when collaborating with cross-functional teams in clinical research?

Statistical programmers in clinical research often work closely with biostatisticians, data managers, and clinical teams. A common challenge is ensuring clear communication regarding data requirements, analysis specifications, and timelines, as different teams may have varying priorities and technical backgrounds. Navigating frequent changes in study protocols or data standards can also require adaptability and strong project management skills. Building collaborative relationships and maintaining thorough documentation are key to overcoming these challenges and ensuring high-quality, reproducible results.

What is statistical programming?

Statistical programming involves using software tools and programming languages, such as R, SAS, or Python, to manage, analyze, and interpret large sets of data. Professionals in this field write code to perform statistical analyses, create data visualizations, and automate data processing tasks. Statistical programming is widely used in industries like pharmaceuticals, finance, public health, and research to support data-driven decision-making and ensure accurate results.

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

To thrive as a Statistical Programmer, you need strong expertise in statistics, programming languages like SAS or R, and a background in mathematics or computer science. Familiarity with statistical software, clinical data management systems, and regulatory standards such as CDISC is typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for collaborating with cross-functional teams. These skills ensure accurate data analysis, regulatory compliance, and successful project delivery in data-driven environments.

What is the difference between Statistical Programming vs Data Analysis?

AspectStatistical ProgrammingData Analysis
Primary FocusDeveloping and implementing statistical models and algorithmsInterpreting data to identify trends and insights
Skills & ToolsProgramming languages (SAS, R, Python), statistical methodsData visualization, descriptive statistics, Excel, SQL
Work EnvironmentPharmaceutical, biotech, or research settingsBusiness, marketing, healthcare sectors
CertificationsOften requires statistical or programming certificationsMay include data analysis or business analytics certifications

While both roles involve working with data, Statistical Programming primarily focuses on creating statistical models and algorithms using programming languages, often in research or clinical settings. Data Analysis emphasizes interpreting data to generate insights for decision-making across various industries. Understanding these differences helps professionals choose the right career path or job focus.

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 cities in California are hiring for Statistical Programming jobs? Cities in California with the most Statistical Programming job openings:
Infographic showing various Statistical Programming job openings in California as of July 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $145,363 per year, or $69.9 per hour.
Director, Statistical Programming

Director, Statistical Programming

Kura Oncology

San Diego, CA

Other

Posted 7 days ago


Job description

ESSENTIAL JOB FUNCTIONS:

The Director of Statistical Programming is responsible for providing technical leadership and programming support to Clinical Development in one or more indications. This individual will collaborate with project biostatisticians, clinical data managers, CRO vendors, and other colleagues in the creation, implementation, and maintenance of statistical programming deliverables for each project. The candidate will support the Head of Statistical Programming to continuously improve processes to conform to evolving industry standards and participate in the ongoing review and development of quality systems and processes, including CDISC implementation and other internal/external initiatives.

  • Provide leadership and support to project teams on all data programming matters according to the projects' strategies.
  • Communicate regularly with CRO vendors to ensure quality and on-time delivery and with members of various internal teams to provide delivery-related updates.
  • Lead projects for all programming deliverables through the project milestones from study start-up to regulatory submission and approval, and post marketing support.
  • Lead design, development, and validation of CDISC submission packages.
  • Review CRO statistical programming deliverables and perform acceptance check and validation, to ensure adherence to Statistical Analysis Plan, CDISC standards, and submission readiness.
  • Contribute and collaborate across functions for the identification and development of programming standards and macros to facilitate the creation of statistical deliverables, as well as in process improvement activities to ensure high quality and timely statistical programming deliverables.
  • Ensure compliance to internal standards and work with line management to identify resource needs based on project milestones and deliverables.
  • Mentor junior staff with regard to programming techniques, project management, and implementation of standards.
  • Contribute to the recruitment process for programmer positions within the department, both contract and permanent.
  • Act as programming representative in a multidisciplinary study team to ensure timely and quality support for analysis and reporting of clinical trials up to regulatory approval, product launch, and annual reports.
  • Develop data models, programming standards, and codes as well as train end users in the use of project standards to support programming deliverables that follow regulatory submission requirements.
  • Implement quality control procedures that are operationally optimized and in compliance with regulatory requirements.
  • Support department initiatives and task forces. Participate in departmental or cross-functional working groups and process improvement activities.
  • Assist in resource assessments based on in-depth project knowledge, milestones, and deliverables. Implement global resourcing strategy with regard to the use of off-shore operations, outsourcing, and insourcing.
  • Effectively interact with external programming resources, including contributing to development and/or review of contract specifications and feedback on performance.
  • Contribute to the set up and ongoing maintenance of data transfer processes and programming related applications/systems
  • Manage program resources, including assigning support programmers, overseeing project timelines, and tracking vendor invoices.

JOB SPECIFICATIONS:

Basic Qualifications

  • MS in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field with a minimum of 10-12 years of programming experience in the pharmaceutical industry, or BS in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field with 12+ years of programming experience in the pharmaceutical industry.
  • Advanced SAS programming skills in a clinical data environment with expertise in at least one therapeutic area.
  • Extensive knowledge of clinical trial research methodologies, CDISC, ICH, GCP, and 21 CFR Part 11 rules and regulations.
  • Leverage AI and automation tools to enhance efficiency and streamline programming workflows
  • Knowledge of regulatory requirements concerning electronic submission standards

Preferred Qualifications

  • Experience in ad-hoc programming to produce analysis for various analyses in a short timeframe.
  • Thorough understanding of the clinical drug development process (clinical trials Phase I-IV).
  • Experience in delivering one or more submissions to regulatory authorities globally.
  • Experience working with all levels of management and consulting with key business stakeholders. An ability to influence greater outcomes.
  • Strong team player that has a customer service approach and is solution oriented.
  • Attention to detail and the ability to work individually, within a multi-disciplinary team, as well as with external partners and vendors.
  • Possesses strong written and verbal communication skills.
  • Experience in Acute Myeloid Leukemia (AML) oncology.
  • Owns decision-making for their functional area or program, including resolving complex issues and making trade-offs to achieve program objectives, with minimal escalation.
  • Leads cross-functional collaboration for assigned programs, proactively driving alignment across stakeholders and resolving issues to support program execution.

The base range for this role at the Director level is $234,644 - $263,000. Individual pay may vary based on additional factors, including, and without limitation, job-related skills, experience, work location, and relevant education or training. Kura's compensation package also includes generous benefits, equity, and participation in an annual target bonus.

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