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R Programmer Jobs (NOW HIRING)

KG Tiger

Statistical Programmer

Plymouth Meeting, PA

... R programming, machine learning, SPSS Excellent communication and interpersonal skills Qualifications Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of ...

EG&R Engineering PC

Physical Layout Designer

Somerset, NJ · Hybrid

$60K - $120K/yr

Health insurance EG&R Engineering PC is a fast-growing multi-disciplinary engineering firm located in Somerset, NJ. EG&R provides electrical engineering and contracting services for a variety of ...

B & R Machine Inc

CNC Programmer

Ludlow, MA

$27.75 - $38/hr

B & R Machine, Inc. * Location: Ludlow, MA (On-Site) * Job Type: Full-Time * Pay Range: Competitive, based on experience * Experience Level: Mid-Level (3+ years CNC programming) * CAM Software:

Parexel

Senior RWE/RWA Programmer

New Brunswick, NJ · Remote

Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting ... Implement programming based on RWE protocols using a variety of RWD sources, including Optum and ...

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How much do r programmer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for r programmer 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 Does an R Programmer Do?

An R programmer works with a unique computer language called R to perform duties such as statistical computing and data collection and analysis with the goal of optimization for a business. As an R programmer, you can use this language, which is open source, to create graphical representations or simulations of data as well as conduct analysis of that data. Other job duties include designing statistical models, formulating procedures, and providing technical assistance for clients. In this role, you can use your computer code knowledge to develop tools for a variety of different fields, from machine learning to statistical analysis for businesses to data mining for technology companies.

What are some common challenges R Programmers face when collaborating on data analysis projects within a team?

R Programmers often work closely with data scientists, analysts, and other programmers, which can present challenges such as ensuring code reproducibility, maintaining clean documentation, and managing version control. It's important to write clear, well-commented scripts and use tools like Git to facilitate collaboration. Additionally, integrating R code with other technologies or platforms may require extra coordination with team members who specialize in different languages or systems. Addressing these challenges can lead to smoother workflows and more reliable project outcomes.

What is the difference between R Programmer vs Data Analyst?

AspectR ProgrammerData Analyst
Required SkillsProficiency in R, statistical analysis, data visualizationData manipulation, basic statistical skills, Excel, SQL
CertificationsOften no formal certification, but R programming courses preferredCertifications like CAP, Microsoft Excel certifications common
Work EnvironmentData science teams, research labs, tech companiesBusiness, marketing, finance departments across industries
Industry UsageTech, healthcare, research institutionsFinance, retail, healthcare, consulting

While both R Programmers and Data Analysts work with data, R Programmers focus more on coding in R for statistical analysis and visualization, often in research or data science teams. Data Analysts typically handle data manipulation and reporting in business contexts, using a broader set of tools. The roles overlap in data skills but differ in technical depth and application focus.

What are R Programmers?

R Programmers are professionals who use the R programming language to analyze data, create statistical models, and develop data-driven solutions. They often work in fields like data science, research, finance, and healthcare, leveraging R's extensive libraries for data manipulation, visualization, and statistical analysis. R Programmers may also build custom tools and automate data workflows to help organizations make informed decisions. Their expertise in R makes them valuable for tasks involving large datasets, predictive modeling, and reporting.

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

To thrive as an R Programmer, you need strong programming skills in R, a solid understanding of statistics, and typically a degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries like dplyr and ggplot2, experience with version control systems such as Git, and knowledge of databases are commonly required. Attention to detail, problem-solving abilities, and effective communication help R Programmers stand out when working with diverse data sets and collaborating with teams. These skills are essential for accurately analyzing data, developing robust solutions, and supporting data-driven decision making.
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R Programmer jobs near you
Infographic showing various R Programmer job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 14% Full Time, and 81% Part Time. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $124,000 per year, or $59.6 per hour.
Programmer - Data Reporting - Local candidates only

Programmer - Data Reporting - Local candidates only

Noblesoft Technologies

Jackson, MS • On-site

Contractor

Posted yesterday

Job description

Role: Programmer - Data Reporting

Location: Jackson, MS 39211 – Onsite 

Duration: 5 years

 

Local candidates only

Position Description:

This project is to assist the agency with federal reporting requirements. Current coding processes and reporting cannot be validated.

The coding and reporting requirements will have to be rewritten using current industry standards, with business rules and revisions documented for the agency.

This position is that of an individual contributor, a quantitative analyst role with responsibility for researching, developing, and maintaining statistical reporting models in R.

Required Skills:

The contractor must have hands-on R programming knowledge; statistical background and understanding 5+ years

Ability to build and deliver robust statistical models 5+ years

Deliver high-quality documentation and presentations to support and maintain model and library use 5+ years

Able to interact with functional and technical consultants to ensure successful model building and deployment 5+ years

Development and back testing 5+ years

Deployment 5+ years

UAT 5+ years

Windows 7 1+ years

Windows 10 1+ years

R Langue 5+ years

R Studio 5+ years

SQL Manager 5+ years

SQL Langue 5+ years

R Development/Programming 5+ years

SQL 5+ years

ADABAS/Natural 1+ years

Agile 1+ years

Power BI 1+ years

Able to work independently