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

Gilead

Sr Manager, Statistical Programming

Foster City, CA · On-site

$169K - $219K/yr

Statistical programmers work collaboratively with internal colleagues and external vendors to ensure the efficient, high-quality production of analysis datasets and statistical outputs for study ...

Gilead

Sr Manager, Statistical Programming

Foster City, CA · On-site

$169K - $219K/yr

Statistical programmers work collaboratively with internal colleagues and external vendors to ensure the efficient, high-quality production of analysis datasets and statistical outputs for study ...

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Statistical Programmer information

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How much do statistical programmer jobs pay per year?

As of Aug 23, 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.

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Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $172,985 per year, or $83.2 per hour.

Sr. Statistical Programmer

Kodiak Sciences Inc

Palo Alto, CA • On-site

Full-time

Re-posted 8 hours ago

Job description

Description
Kodiak Sciences Inc. is a rapidly growing, clinical-stage biopharmaceutical company dedicated to transforming ophthalmology through innovative therapeutics. Our proprietary Antibody Biopolymer Conjugate Drug (ABCD) platform integrates protein engineering, polymer chemistry, small molecule drug discovery, and advanced drug delivery technologies to address prevalent and debilitating retinal diseases with the goal of improving patient outcomes worldwide. In this fast-growing and fast-paced organization, your expertise is needed to provide support for clinical and statistical programming activities related to multiple clinical studies.
Key Responsibilities
  • Assist in the review of key study-related documents produced by other functions, e.g. Statistical Analysis Plan, Case Report Forms, Data Management Plan, Database Specifications, EDC Data Structures, DMC plans and other clinical documents
  • Write, test and validate SAS programs to produce analysis datasets, TLFs, to be included in reports for submission to regulatory agencies, publications and other communications as needed
  • May serve as a technical lead and project manager for multiple studies managing all aspects of study deliverables related to statistical and clinical programming as needed
  • Work with internal stakeholders to gather requirements and write specifications
  • Interact and communicate with Statisticians, Data Managers, Clinical Operations, Medical Monitors, Medical Writing and Medical Monitors to address programming related study deliverables
  • Write macros for reusability
  • Review and verify vendor deliverables for quality and accuracy
  • Contribute to the development review of Statistical Programming policies, standard operating procedures and other controlled documents
  • Interface with outsourcing partners and vendors

Education & Experience
  • B.S. preferably in Mathematics, statistics, computer sciences or other related field
  • 5+ years of clinical trials experience in pharmaceutical or biopharmaceutical setting or equivalent

Additional Skills
  • Thorough knowledge of the drug development and regulatory submission cycle
  • Excellent project management skills
  • Excellent communication skills
  • Able to work in a fast pace and agile environment
  • In-depth and current knowledge of regulatory requirements and guidance
  • Excellent SAS and CDISC skills
  • Proficiency in MS Word, Excel, PowerPoint, and Project

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