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R Statistical Programmer Jobs in California (NOW HIRING)

Statistical Analysis Plans & Mock TLFs: Set the vision and direction for Statistical Analysis Plans ... Programming: Mastery of R required; SAS and Python additionally valued. Demonstrated ability to set ...

Statistical Analysis Plans & Mock TLFs: Set the vision and direction for Statistical Analysis Plans ... Programming: Mastery of R required; SAS and Python additionally valued. Demonstrated ability to set ...

Statistical Analysis Plans & Mock TLFs: Set the vision and direction for Statistical Analysis Plans ... Programming: Mastery of R required; SAS and Python additionally valued. Demonstrated ability to set ...

Showing results 21-40

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 Sep 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?

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 does an R statistical programmer do?

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 key skills and qualifications needed to thrive as an R statistical programmer?

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 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:

Infographic showing various R Statistical Programmer job openings in California as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $145,363 per year, or $69.9 per hour.

Senior Director, Head of Statistical Programming

San Diego, CA • On-site

Other

Re-posted 6 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Senior Director, Head of Statistical Programming

Full Time Malvern, PA, US

Uniquity Bio is seeking a highly experienced and strategic Senior Director, Head of Statistical Programming to lead and scale the Statistical Programming function within our growing Biostatistics and Data Sciences organization. This individual will provide both strategic and operational leadership across clinical development programs and will be responsible for the delivery, quality, and integrity of statistical programming outputs supporting clinical trials, regulatory submissions, publications, and internal decision-making.

The Senior Director will play a critical role in establishing programming standards, building scalable infrastructure, and driving operational excellence across all programming activities. This position requires deep technical expertise, strong leadership capabilities, and the ability to collaborate effectively within a dynamic, cross‑functional biotechnology environment.

The ideal candidate is a hands‑on leader with extensive experience supporting regulatory submissions, managing external vendors and CROs, and building high‑performing programming organizations within a fast‑paced clinical‑stage biotech setting.

Key Responsibilities
  • Define and lead the vision, standards, operational strategy, and long‑term scalability roadmap for the Statistical Programming function.
  • Build, mentor, and develop internal statistical programming capabilities through strategic hiring, coaching, resource planning, and team leadership.
  • Oversee the development, validation, review, and delivery of SDTM datasets, ADaM datasets, tables, listings, figures (TLFs), and related programming deliverables across clinical development programs.
  • Ensure all programming deliverables meet internal quality standards, CDISC compliance requirements, and applicable regulatory expectations for global submissions.
  • Provide technical and operational oversight for programming activities supporting clinical trials, regulatory submissions, publications, safety analyses, and ad hoc data requests.
  • Drive programming strategy and readiness for regulatory interactions and submissions, including FDA, EMA, PMDA, NDA, BLA, and MAA activities.
  • Establish, maintain, and optimize programming processes, standards, SOPs, macros, validation frameworks, and data governance workflows to improve consistency, efficiency, scalability, and inspection readiness.
  • Lead and oversee relationships with external CROs, statistical programming vendors, and independent contractors, including scope management, quality oversight, timeline accountability, and budget management.
  • Partner closely with Biostatistics, Data Management, Clinical Operations, Medical Writing, Regulatory Affairs, and Clinical Development teams to ensure alignment on study timelines, deliverables, and data quality expectations.
  • Contribute to submission strategy discussions, inspection readiness activities, and responses to regulatory questions related to programming deliverables and data standards.
  • Evaluate and implement innovative technologies, tools, and automation opportunities to enhance programming efficiency and reproducibility.
  • Support organizational growth initiatives and contribute to broader departmental strategy and operational planning efforts.
Qualifications
  • Bachelor’s, Master’s, or PhD in Statistics, Biostatistics, Computer Science, Mathematics, or related quantitative discipline.
  • Typically, 12+ years of statistical programming experience within the biotechnology, pharmaceutical, or CRO industry, including leadership experience supporting clinical development programs.
  • Demonstrated experience leading statistical programming activities across multiple phases of clinical development, including late‑stage studies and regulatory submissions.
  • Deep expertise in CDISC standards, including SDTM and ADaM implementation.
  • Expert‑level proficiency in SAS required; familiarity with R and/or Python strongly preferred.
  • Strong understanding of clinical trial processes, regulatory requirements, and industry best practices related to statistical programming and submission deliverables.
  • Proven experience managing external CROs, vendors, and outsourced programming models within a matrixed environment.
  • Demonstrated ability to establish scalable programming standards, processes, and operational infrastructure within a growing organization.
  • Prior experience supporting FDA, EMA, PMDA, NDA, BLA, and/or MAA submissions strongly preferred.
  • Excellent leadership, communication, collaboration, and organizational skills with the ability to influence across cross‑functional teams and executive stakeholders.
  • Ability to thrive in a fast‑paced, highly collaborative, and evolving biotechnology environment.

This role offers the opportunity to directly influence clinical development strategy and operational execution during a critical stage of company growth while helping shape the future of the Clinical Operations organization.

The position is US based. Team members who live within commuting distance to either our Malvern, PA or San Diego, CA office locations are expected to spend the majority of their work time physically present in the office interacting with other team members. Remote employees will be expected to travel to an office on a regular basis. Specific details for both local and remote staff will be discussed and agreed on a case‑by‑case basis with the employee’s manager.

Business travel may be required depending upon the specific needs of the position.

The above job description is not intended to be all‑inclusive. Requirements of the position may change from time to time based on business needs.

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