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R Statistical Programmer Jobs (NOW HIRING)

Sr SAS & R Programmer onsite in the Chesterbrook, PA area 3 days/week SUMMARY The contract Senior Statistical Programmer is a member of the Biometrics Department within the Research and Development ...

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R Statistical Programmer information

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$84.5K

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How much do r statistical programmer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for r statistical programmer in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 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.

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What cities are hiring for R Statistical Programmer jobs? Cities with the most R Statistical Programmer job openings:
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Infographic showing various R Statistical Programmer job openings in the United States as of June 2026, with employment types broken down into 22% As Needed, 67% Full Time, and 11% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.

88-50100108 Statistical Programmer Analyst

F. Hoffmann-La Roche AG

Pleasanton, CA โ€ข On-site

$140K - $181K/yr

Full-time

Posted 9 days ago


Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Position
Roche Molecular Systems, Inc. seeks a Statistical Programmer Analyst at its Pleasanton, CA location.
Duties: Within global healthcare technology company, serve as subject matter expert to lead, develop and review SAS (Statistical Analysis System) programs supporting clinical research teams with FDA compliance for regulatory submissions. Drive implementation and execution of programming deliverables across projects. Provide specialized technical programming expertise to others within own team or across Biometrics function. Design, develop, and validate compound-level SAS macros to standardize and automate clinical reporting deliverables (tables, listings, figures) across studies and business units. Transform and integrate multi-format data (CSV, Excel, SAS transport) into validated, analysis-ready datasets by transforming, merging diverse sources, and resolving complex data inconsistencies while ensuring end-to-end data integrity and traceability. Translate Statistical Analysis Plans into executable SAS/R code to generate regulatory submission packages for FDA filings. Create advanced statistical visualizations, diagnostic agreement reports, and interactive dashboards for clinical trial monitoring. Deliver modular, scalable, and reusable programming solutions that streamline reporting processes and support regulatory submissions with comprehensive validation documentation.
Education and experience required: Bachelor's degree, or foreign degree equivalent, in Computer Science, Engineering, Statistics or closely related field and 6 years of progressive, post-baccalaureate experience as a Statistical Programmer, SAS Programmer, Clinical Programmer, or closely related position in the medical diagnostics, medical device, or pharmaceutical industry.
Special Requirements: 6 years of experience with each of the following:
Data Transformation and Integration through importing, cleaning, and merging multi-format data (CSV, Excel, Oracle) into SAS datasets
Regulatory Reporting and Submissions including generating analysis datasets, tables, listings, and figures for FDA submissions
Advanced Statistical Programming using SAS/R
Programming Skills such as Modular, Scalable, and Reusable Code
Translate statistical analysis plans into SAS code for accurate trial results
Design, development, and validation of statistical software solutions and applying knowledge of statistical concepts
Developing data insights and dashboards to monitor clinical trials data
Can work 100% from anywhere in the U.S.
#LI-DNI #DNI #DE-DNI
Worksite: 4300 Hacienda Drive, Bldg 727, Pleasanton, CA 94588
The expected annual salary range for this position based on the primary location for this position of Pleasanton, CA is $140,136 to $181,200 per year. Actual pay within the range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits (https://roche.ehr.com/default.ashx?CLASSNAME=splash)
Who we are
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.