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R Programming Jobs (NOW HIRING)

Apple

NAND Q&R Engineer

Cupertino, CA

$150K - $277K/yr

Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis. Proficiency in automating data analysis workflows and developing data pipelines for Q&R ...

Apple

NAND Q&R Engineer

Cupertino, CA

$184K - $324K/yr

Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis. Proficiency in automating data analysis workflows and developing data pipelines for Q&R ...

Cytel

Principal Biostatistician FSP

Cambridge, MA · On-site +1

Good SAS and R programming skills for QCing critical outputs, Efficacy/Safety tables and working closely with Programmers. Knowledge of R programming a plus. * Strong knowledge of ICH guidelines.

EG&R Engineering PC

Lead Electrical Engineer

Somerset, NJ · On-site

$85K - $135K/yr

EG&R Engineering PC is a fast-growing multi-disciplinary engineering firm located in Cranbury, NJ. EG&R provides electrical, mechanical, environmental and geotechnical engineering services for a ...

EG&R Engineering PC

Lead Electrical Engineer

Somerset, NJ · On-site

$85K - $135K/yr

EG&R Engineering PC is a fast-growing multi-disciplinary engineering firm located in Cranbury, NJ. EG&R provides electrical, mechanical, environmental and geotechnical engineering services for a ...

N-C

Industrial Engineer

Chesapeake, VA · On-site

$68K - $91K/yr

Conduct statistical data analysis to identify trends, patterns, and opportunities for process improvement utilizing key data analysis and visualization tools such as Excel, Python, R Programming ...

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 ...

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R Programming information

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$80K

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$151K

How much do r programming jobs pay per year?

As of Jul 13, 2026, the average yearly pay for r programming 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 is R programming?

R programming is an open-source language and environment primarily used for statistical computing, data analysis, and graphical representation of data. It is widely used by statisticians, data analysts, and researchers for tasks like data manipulation, statistical modeling, and creating visualizations. R has a rich ecosystem of packages and libraries that make it highly flexible for various data science applications. Its ability to handle large datasets and integrate with other programming languages makes it a popular choice in academia and industry. Additionally, R is supported by an active community, which continuously contributes new tools and resources.

Is R still used in 2026?

R programming remains widely used in data analysis, statistical modeling, and research environments in 2026. Many organizations rely on R for data visualization, machine learning, and data science tasks, and it continues to be supported by a large community and extensive packages. Proficiency in R is valuable for data analysts and statisticians working across various industries.

What jobs use R coding?

Jobs that use R coding include data analyst, data scientist, statistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and programming, with R being a primary tool for data manipulation and modeling in these fields.

What types of projects do R Programming professionals typically work on within a team environment?

R Programming professionals often collaborate on projects involving data analysis, statistical modeling, and visualization. They usually work closely with data scientists, analysts, and subject matter experts to clean datasets, build predictive models, and generate insightful reports. The role requires effective communication to translate technical findings into actionable recommendations for non-technical stakeholders. Additionally, R programmers may participate in code reviews, contribute to package development, and help automate data pipelines, fostering a collaborative and learning-oriented work environment.

Is R programming in demand?

R programming is in high demand in data analysis, statistics, and data science roles, especially in industries like healthcare, finance, and research. Professionals skilled in R, along with data visualization and statistical modeling, are sought after as organizations increasingly rely on data-driven decision making.

What jobs pay $500,000 a year in the US?

In R programming, high-paying roles such as senior data scientists, quantitative analysts, or lead statisticians can reach or exceed $500,000 annually, especially in finance, technology, or consulting firms. These positions typically require advanced skills in data analysis, machine learning, and extensive experience, often supplemented by certifications or advanced degrees. Compensation at this level may include base salary, bonuses, and stock options.

What is the difference between R Programming vs Data Analyst?

AspectR ProgrammingData Analyst
Required skillsStatistical analysis, coding in R, data visualizationData manipulation, reporting, basic statistical skills
Work environmentData science teams, research labs, analytics departmentsBusiness, finance, marketing, healthcare sectors
Tools usedR, RStudio, packages like ggplot2, dplyrExcel, SQL, Tableau, R (sometimes)

R Programming is a specialized skill focusing on statistical computing and data visualization, often used by data scientists and statisticians. Data Analysts utilize a broader set of tools and skills to interpret data for business insights. While R Programming is essential for advanced analysis, Data Analysts often combine R with other tools to deliver reports and dashboards.

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 proficiency in R programming, data analysis, and statistical modeling, often supported by a background in statistics, mathematics, or computer science. Familiarity with tools such as RStudio, version control systems like Git, and relevant packages (e.g., dplyr, ggplot2) is highly valued, along with certifications in data science or analytics. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data analysis, efficient workflow, and clear communication of results to technical and non-technical stakeholders.
More about R Programming jobs
What cities are hiring for R Programming jobs? Cities with the most R Programming job openings:
What are the most commonly searched types of R Programming jobs? The most popular types of R Programming jobs are:
What states have the most R Programming jobs? States with the most job openings for R Programming jobs include:
R Programming jobs near you
Programmer - Data Reporting - Local candidates only

Programmer - Data Reporting - Local candidates only

Noblesoft Technologies

Jackson, MS • On-site

Contractor

Re-posted 16 days ago

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