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Statistical Programming Jobs in California (NOW HIRING)

Stryker

$35/hr

Opportunities Available As a Statistical Programming intern at Stryker, you will: * Be responsible for the timely creation, review, completion, and delivery of statistical programming activities and ...

Erasca

SVP Biometrics

South San Francisco, CA · On-site +1

This includes leadership of the Biostatistics, Statistical Programming & Analysis, and Clinical Data Management functions. This role requires hands-on execution as well as oversight of internal and ...

Erasca

SVP Biometrics

San Francisco, CA

This includes leadership of the Biostatistics, Statistical Programming & Analysis, and Clinical Data Management functions. This role requires hands-on execution as well as oversight of internal and ...

Erasca

SVP Biometrics

San Diego, CA · On-site +1

This includes leadership of the Biostatistics, Statistical Programming & Analysis, and Clinical Data Management functions. This role requires hands-on execution as well as oversight of internal and ...

Erasca

SVP Biometrics

San Diego, CA · On-site

This includes leadership of the Biostatistics, Statistical Programming & Analysis, and Clinical Data Management functions. This role requires hands-on execution as well as oversight of internal and ...

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All JobsStatistical Programming JobsStatistical Programming Jobs in California

Statistical Programming information

See California salary details

$83.4K

$145.4K

$245.7K

How much do statistical programming jobs pay per year?

As of Sep 15, 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 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?

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 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 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 are popular job titles related to Statistical Programming jobs in California?

For Statistical Programming jobs in California, the most frequently searched job titles are:

What job categories do people searching Statistical Programming jobs in California look for?

The top searched job categories for 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:

Statistical Programming jobs near you
Infographic showing various Statistical Programming job openings in California as of September 2026, with employment types broken down into 2% Internship, 84% Full Time, 7% Part Time, 2% Temporary, and 5% Contract. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $145,363 per year, or $69.9 per hour.

Principal Statistical Analyst

Redwood City, CA • On-site

Revolution Medicines
See more jobs at Revolution Medicinesexternal

Full-time

Re-posted yesterday

Job description

Revolution Medicines is a global, commercial-state oncology company dedicated to discovering, developing and delivering innovative medicines for patients with RAS-addicted cancers. Leveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS. Founded on rigorous scientific inquiry and a willingness to challenge long-held assumptions, Revolution Medicines is committed to changing the trajectory of disease for patients with RAS-addicted cancers worldwide.
Our people are united by a shared way of working: follow the science, challenge assumptions, act with urgency and hold ourselves to a high standard of rigor-all in service of patients.
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

The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.
Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.
Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.
Base Pay Salary Range
$186,000-$233,000 USD
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message.
Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address.
If you believe you've been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.

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