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R Statistical Programmer Jobs in California (NOW HIRING)

CYNET SYSTEMS

Senior Supplier Quality Engineer

Irvine, CA · On-site

$44 - $49/hr

Provide engineering support to Receiving Inspection on component test methods and investigations ... Experience with statistical techniques and tools such as Gage R&R, Statistical Process Control, or ...

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All JobsR Statistical Programmer JobsR Statistical Programmer Jobs in California

R Statistical Programmer information

See California salary details

$83.4K

$145.4K

$245.7K

How much do r statistical programmer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for r 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 R Statistical Programmer job?

An R Statistical Programmer is responsible for writing and optimizing code in R to analyze and manage statistical data, often in industries like pharmaceuticals, finance, or research. They develop data visualizations, automate reports, and ensure data integrity for decision-making. Many work closely with statisticians and data scientists to implement models and validate results. Strong knowledge of statistical methods, data manipulation, and regulatory requirements (in certain industries) is often required.

What are the key skills and qualifications needed to thrive in the R Statistical Programmer position, and why are they important?

To thrive as an R Statistical Programmer, you need a strong foundation in statistics, programming in R, and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools, database management systems (such as SQL), and industry-relevant certifications like SAS or R programming credentials are highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These capabilities ensure accurate data-driven insights, efficient workflow, and effective collaboration within multidisciplinary project teams.

What does a typical day look like for an R Statistical Programmer?

A typical day for an R Statistical Programmer often involves writing and optimizing R scripts to analyze datasets, creating data visualizations, and collaborating with data scientists, statisticians, or project managers to deliver actionable insights. You might spend time cleaning and preparing raw data, performing statistical modeling, and documenting your methods to ensure reproducibility. Communication is key, as you'll regularly present your findings to both technical and non-technical stakeholders. Depending on the industry, you may work independently or as part of a team in academic, healthcare, finance, or technology environments.

What are the most commonly searched types of R Statistical Programmer jobs in California? The most popular types of R Statistical Programmer jobs in California are:
What are popular job titles related to R Statistical Programmer jobs in California? For R Statistical Programmer jobs in California, the most frequently searched job titles are:
What job categories do people searching R Statistical Programmer jobs in California look for? The top searched job categories for R Statistical Programmer jobs in California are:
R Statistical Programmer jobs near you
Infographic showing various R Statistical Programmer job openings in California as of June 2026, with employment types broken down into 25% As Needed, 62% Full Time, and 13% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $145,363 per year, or $69.9 per hour.
Assistant, Statistical Research Programmer PT, Limited Term

Assistant, Statistical Research Programmer PT, Limited Term

Chapman University

Orange, CA • On-site

$30/hr

Part-time

Posted 11 days ago

Chapman University rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

284th of 535 rated colleges and universities

Job description

Position Information
Position Title Assistant, Statistical Research Programmer PT, Limited Term Position Type Limited-Term Job Number SA74224 Full or Part Time part-time 0-19 hours weekly Fair Labor Standard Act Classification Non-Exempt Anticipated Pay Range $30.00 Pay Range Information
Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate's qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage.
Position Summary Information
Job Description Summary
The role of the Assistant Statistical Research Programmer is integral in a dynamic multidisciplinary setting, supporting research initiatives encompassing a diverse array of critical subjects, including healthcare and health policy. This position will work closely with the PI and collaborators in creating, managing, and analyzing large and complex data sets.
This position is part-time up of up to19 hours a week.
Responsibilities
  • Work closely with the PI and collaborators in creating, managing, and analyzing large data sets, for example, using Python on IQVIA databases that contain billions of claims records and dispensing records.
  • Assist faculty and graduate researchers with statistical modeling, including regression, survival analysis, cost-effectiveness modeling, and multilevel modeling.
  • Contribute to continuous improvement of departmental data infrastructure and workflow efficiency.
  • Support research projects involving large administrative claims, EHR, survey, or clinical trial data.
  • Collaborate with external collaborators in implementing machine learning algorithms.
  • Perform other duties as assigned.
Required Qualifications
  • Bachelor's degree in Statistics, Biostatistics, Data Science, Computer Science, or a related field.Python, SAS, or R for data management and statistical analysis.
  • Exceptional problem-solving abilities with a solid understanding of statistical methods
  • Good, Strong interpersonal and communication skills
  • Ability to produce careful and detail-oriented work
  • Ability to work in a team environment.
  • A minimum of one year of experience in statistical programming with Python, SAS, or R, with a preference for candidates proficient in at least two of the mentioned languages.
Desired Qualifications
  • Master's Degree in related field.
  • A good understanding of statistical methods for geospatial epidemiology (e.g., ArcGIS and
    preferably SaTScan).
  • Experience in writing and preparing manuscripts for publication.
  • Thorough understanding and knowledge of epidemiological study design.
  • Previous clinical or research training.
Special Instructions to Applicants
Chapman University is an equal opportunity employer that provides equal employment opportunities to all individuals, regardless of their protected characteristics. All qualified applicants and employees are encouraged to apply and will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law.
Applicants for Staff and Administrator positions must be currently authorized to work in the United States on a full-time basis.
The offer of employment is contingent upon satisfactory completion and outcomes of a criminal background screening and returning to the Office of Human Resources a signed original acceptance of the Chapman University Agreement to Arbitrate.
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