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R Programming Salary Jobs (NOW HIRING)

Experienced with SAS programming, R programming and other statistical software * Experience with AI or agentic AI in statistical reporting is a plus * People management is a plus The base salary ...

Python/R Developer

Los Angeles, CA · On-site

$55 - $71/hr

In this Job market also, our candidates can achieve multiple job offers and $100k + salaries ... programming language Java and understanding of the software development life cycle Knowledge of ...

Python/R Developer

Boulder, CO · On-site

$53.75 - $69.50/hr

In this Job market also, our candidates can achieve multiple job offers and $100k + salaries ... programming language Java and understanding of the software development life cycle Knowledge of ...

... salaries of our candidates . We regularly interact with the Top Tech companies to give our ... programming language Java and understanding of the software development life cycle Knowledge of ...

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R Programming Salary information

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$80K

$124K

$151K

How much do r programming salary jobs pay per year?

As of Jul 2, 2026, the average yearly pay for r programming salary in the United States is $124,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What careers use R programming?

R programming is widely used in data analysis, statistical modeling, and data science roles such as data analyst, data scientist, biostatistician, and research scientist. These careers often require skills in statistical techniques, data visualization, and familiarity with tools like RStudio and packages such as ggplot2 and dplyr.

Are R programmers in demand?

R programmers are in demand in fields such as data analysis, statistics, and research, especially in industries like healthcare, finance, and technology. Proficiency in data visualization, statistical modeling, and tools like RStudio increases employability, with demand growing as data-driven decision-making becomes more prevalent.

Is R coding difficult?

R programming for data analysis and statistical tasks can have a learning curve, especially for beginners without prior coding experience. However, with consistent practice and understanding of basic programming concepts, many users find R accessible and manageable to learn. Familiarity with data structures and functions can help improve proficiency in R coding jobs.

Is R still relevant in 2026?

R programming remains relevant in 2026 for data analysis, statistical modeling, and research in fields like healthcare, finance, and academia. Its extensive package ecosystem and integration with tools like RStudio support continued use, especially for data science and machine learning tasks. Professionals with R skills are likely to find ongoing demand in data-driven roles.
More about R Programming Salary jobs
What cities are hiring for R Programming Salary jobs? Cities with the most R Programming Salary job openings:
What states have the most R Programming Salary jobs? States with the most job openings for R Programming Salary jobs include:
What job categories do people searching R Programming Salary jobs look for? The top searched job categories for R Programming Salary jobs are:
Infographic showing various R Programming Salary job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $124,000 per year, or $59.6 per hour.
Statistical Programmer III/IV

$109K - $173K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Statistical Programmer III/IV

The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is a full service statistical and data management center focused on HIV prevention research. SCHARP is seeking a Statistical Programmer III/IV to provide statistical programming expertise within SCHARP by coordinating with statisticians to write efficient, re-usable, and easily maintainable code that access, analyze and report data descriptives and analyses.

This position can be offered fully remote:

Responsibilities

May include some or all of the following:

  • Gather and document requirements for developing or modifying existing programs and systems.
  • Define and edit mock tables, listings and figures (TLFs) and analysis dataset specifications.
  • Generate, document, and maintain analysis datasets.
  • Develop scripts for wrangling / data transformation.
  • Create ad hoc, standard and study-specific reports (e.g. SMC, DSMB, SMB, Assay QC); may perform cross- study reporting.
  • Test and de-bug programs and maintain version control on production programs and scripts.
  • Design and develop new work instructions (WIs) and updates to existing WIs.
  • May coordinate efforts to standardize WIs or processes across studies.
  • Develop and maintain automation of routine analysis data and reporting tasks.
  • Contribute to good programming practices, and cross-group programming initiatives and code libraries.
  • Work with clinical programmers, lab programmers, statisticians, and other statistical programmers to resolve data quality, processing, and analysis issues.
  • Contribute to mentoring and training of junior Statistical Programmers and may supervise as needed.
  • Other duties as assigned.
Qualifications

Minimum qualifications:

  • Statistical Programmer III: Bachelor's degree in Public Health, Statistics, Computer Science, or directly related fields. 4 years of experience as SAS or R programmer on PC/Unix platform. Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams. Demonstrated ability to multi-task and appropriately prioritize work assignments. Knowledge of and experience with clinical trials research data or experience in data wrangling /transformation within a health-related field. Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting. Advanced SAS or R programming skills. Strong reporting and SAS macro or R package development abilities. Knowledge of SAS or R (including graphics experience) and other programming languages. Ability to use Perl or other scripting languages for text manipulation and automated job control.
  • Statistical Programmer IV: Bachelor's degree in Public Health, Statistics, Computer Science, or directly related fields. 5 years of experience in SAS or R programming, with additional experience in other programming languages including a scripting language; R programmers will have experience using version control tools (e.g. git or svn). 4 years of experience in support of clinical trials, in a clinical research setting or other health research setting, or in data wrangling /transformation within a health-related field. Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams. Demonstrated ability to multi-task and appropriately prioritize work assignments. Knowledge of and experience with clinical trials research data. Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting. Knowledge of both SAS and R (including graphics experience) and other programming languages. Strong reporting and SAS macro or R package development abilities. Advanced SAS or advanced R programming skills. Ability to use Perl or other scripting languages for text manipulation and automated job control.

Preferred qualifications:

  • Statistical Programmer III: Graduate degree in Computer Science or a scientific, technical, or health-related field. Preferred experience programming in support of clinical trials, statistical programming in a clinical research setting or other health research programming support. R programmers will have experience using version control tools (e.g. git or svn). Knowledge of CDISC standards (SDTM and ADaM). Experience using version control tools.
  • Statistical Programmer IV: Graduate degree in Computer Science or a scientific, technical, or health-related field. Knowledge of CDISC standards (SDTM and ADaM).

Statistical Programmer III: The annual base salary range for this position is from $99,486 to $157,227, and pay offered will be based on experience and qualifications.

Statistical Programmer IV: The annual base salary range for this position is from $109,699 to $173,347, and pay offered will be based on experience and qualifications.

Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.

Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).

We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.