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Associate Statistical Programmer Jobs in California

MEDVACON

Research Associate - pharma

Foster City, CA · On-site

... statistical programming languages such as R and Python is a plus. Additional Information Vaccine mandate is in effect due to onsite nature of the position Please attach a WORD resume to your ...

MEDVACON

Research Associate - pharma

Foster City, CA · On-site

Experience with Microsoft Word and Excel is essential, and knowledge in statistical programming ... NOTE - other temporary roles with this company: 2 Research Associate in Santa Monica, CA 1 Clinical ...

Exelixis

Associate Biostatistics Director

Alameda, CA · On-site

$166K - $236K/yr

Works collaboratively with clinicians, data managers, biostatisticians, statistical programmers, and medical writers in the planning, conduct and analysis of clinical trials. Essential Duties And ...

Exelixis

Associate Biostatistics Director

Alameda, CA · On-site

$166K - $236K/yr

Works collaboratively with clinicians, data managers, biostatisticians, statistical programmers, and medical writers in the planning, conduct and analysis of clinical trials. Essential Duties And ...

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All JobsAssociate Statistical Programmer JobsAssociate Statistical Programmer Jobs in California

Associate Statistical Programmer information

See California salary details

$83.4K

$145.4K

$245.7K

How much do associate statistical programmer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for associate statistical programmer 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 an Associate Statistical Programmer?

An Associate Statistical Programmer is an entry-level professional who assists in the programming and analysis of clinical trial data, primarily within the pharmaceutical or biotechnology industries. They use statistical software, such as SAS or R, to create, validate, and maintain datasets, tables, listings, and figures required for clinical study reports. Their work supports biostatisticians and clinical teams in ensuring data accuracy and regulatory compliance. This role is ideal for those with a background in statistics, mathematics, or computer science, looking to start a career in clinical data analysis.

How does an Associate Statistical Programmer typically collaborate with biostatisticians and data managers in clinical research projects?

As an Associate Statistical Programmer, you will frequently collaborate with biostatisticians to understand statistical analysis plans and translate them into clear programming specifications. You’ll also work closely with data managers to ensure data integrity and resolve any data discrepancies before analysis. Effective communication and teamwork are essential, as you’ll often participate in project meetings, provide programming support, and help deliver high-quality datasets and reports under tight timelines. This collaborative environment is key to ensuring accurate and timely clinical trial results.

What is the difference between Associate Statistical Programmer vs Statistical Programmer?

AspectAssociate Statistical ProgrammerStatistical Programmer
Required CredentialsBachelor's degree in statistics, mathematics, or related field; some roles may require basic programming skillsBachelor's or master's degree; more experience in programming and statistical analysis
Work EnvironmentEntry-level, supporting senior programmers; often in clinical research or pharmaceutical companiesMore independent, handling complex analyses; similar industry settings
Employer & Industry UsageCommon in clinical trials, pharmaceutical, and biotech companiesUsed across similar industries, often as a step up from associate roles

The main difference between an Associate Statistical Programmer and a Statistical Programmer lies in experience and responsibility level. Associate roles are typically entry-level, focusing on supporting tasks under supervision, while Statistical Programmers handle more complex analyses independently. Both roles are vital in clinical research and biotech industries, with the associate position serving as a stepping stone to more advanced programming roles.

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

To thrive as an Associate Statistical Programmer, you need a solid background in statistics, programming (especially SAS or R), and familiarity with clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software (such as SAS, R, or Python), CDISC standards, and data management tools is essential, and certifications in SAS programming can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills help you collaborate with clinical teams and ensure data quality. These skills and qualities are vital for delivering accurate statistical analyses that support regulatory submissions and evidence-based decision-making in clinical research.
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Associate Statistical Programmer jobs near you
Associate Director, Medical Analytics and Exploratory Data Science

Associate Director, Medical Analytics and Exploratory Data Science

Revolution Medicines

Redwood City, CA • Hybrid

$72K - $72K/yr

Other

Re-posted 27 days ago

Job description

The Opportunity:

We are seeking a highly capable Associate Director of Biostatistics to join our Medical Analytics and Exploratory Data Science Biostatistics group within our Biostatistics organization. This role will play a critical part in the design, analysis, and interpretation of exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) studies. The successful candidate will serve as a key statistical contributor and emerging leader, partnering closely with cross-functional teams to deliver high-quality, data-driven insights that support scientific understanding and evidence generation.

  • Lead statistical design, analysis, and interpretation for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

  • Partner closely with other subfunctions within quantitative sciences and with cross-functional teams, including clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial, to execute evidence generation plans.

  • Apply appropriate statistical methodologies, including survival analysis, machine learning, and casual inference approaches, to address complex scientific and medical questions in oncology.

  • Contribute to the development of analysis plans, technical specifications, and interpretation of results under general direction from senior statistical leadership.

  • Support cross-functional evidence generation planning by providing statistical input into study design, feasibility, and analysis strategies.

  • Review and oversee statistical deliverables produced by internal programmers or external vendors/contractors to ensure scientific quality and consistency with standards.

  • Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.

  • Assist with the preparation of scientific communications, including abstracts, manuscripts, posters, and internal presentations.

Required Skills, Experience and Education:

  • Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 5 years (for Ph.D.) and 8 years (for M.S.) of experience in biotech/pharma industry as a statistician.

  • Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.

  • Hands-on experience in exploratory analysis of oncology trials.

  • Ability to work independently and within a team.

  • Ability to independently execute statistical analyses for moderately complex projects with guidance from senior statisticians.

  • Familiar with regulatory requirements related to biostatistical activities and clinical trials.

  • Strong verbal and written communication skills are required.

  • Strong interpersonal and project management skills are essential.

  • Proficiency in SAS and/or R.

Preferred Skills:

  • Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.

  • Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data. 

    #LI-Hybrid  #LI-SH1

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