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Statistical Programmer Jobs in Santa Clara, CA (NOW HIRING)

Intuitive

Staff Biostatistician

Sunnyvale, CA · On-site +1

... and programming practice. Provide technical leadership and career-development guidance to statisticians at all junior levels, raising the technical ceiling of the department. Oversee and direct ...

Intuitive

Lead Biostatistician

Sunnyvale, CA · On-site

... and programming practice. Provide technical leadership and career-development guidance to statisticians at all junior levels, raising the technical ceiling of the department. Oversee and direct ...

Intuitive

Staff Biostatistician

Sunnyvale, CA · On-site

... and programming practice. Provide technical leadership and career-development guidance to statisticians at all junior levels, raising the technical ceiling of the department. Oversee and direct ...

Intuitive Surgical

Staff Biostatistician

Sunnyvale, CA · On-site

... and programming practice. Provide technical leadership and career-development guidance to statisticians at all junior levels, raising the technical ceiling of the department. Oversee and direct ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Santa Clara, CA

Statistical Programmer information

See Santa Clara, CA salary details

$99.2K

$173K

$292.4K

How much do statistical programmer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for statistical programmer in Santa Clara, CA is $172,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,800.00 and $187,900.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

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 a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

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

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

More about Statistical Programmer jobs

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Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Santa Clara, CA as of September 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $172,985 per year, or $83.2 per hour.

Sr. Statistical Programmer (W2 only)

Technumen

Sunnyvale, CA • On-site

Contractor

Posted 22 days ago

Job description

 
Job Summary (Sr. Statistical Programmer)
Remote (W2 Only)
- Lead statistical programming activities for multiple clinical research projects in pharmaceutical or CRO settings.
- Utilize SAS (and other statistical software) to conduct statistical analyses, develop and validate analysis datasets, tables, listings, and figures.
- Coordinate, supervise, and mentor programming teams, providing coaching and training to junior staff and new hires.
- Serve as a statistical programming lead on internal project teams, managing programming, verification, and documentation tasks.
- Ensure efficient, high-quality, and accurate data reporting and project deliverables, adhering to project timelines and priorities.
- Design, implement, validate, and maintain advanced project reporting applications in collaboration with internal and external stakeholders.
- Represent the department and company in client meetings and presentations, ensuring positive relationships with sponsors and vendors.
- Communicate accurate and timely project status updates to team members and management.
- Contribute to the ongoing improvement of programming processes, methodologies, and best practices.
- Work independently with minimal supervision, demonstrating strong problem-solving and organizational skills.
- Maintain awareness of project tasks and proactively communicate progress, issues, and priorities to management and project teams.
- Requires a Master’s degree in Biostatistics or related field (or equivalent experience) and 8+ years of relevant statistical programming experience.