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R Programmer Jobs (NOW HIRING)

Brillio Inc

Data Scientist / R Modeller

Irving, TX · On-site

R Programming (2+ years) * Experience with Statistical Analysis (2+ years) * Linux and Hadoop experience - needs to have an understanding of these, no minimum requirements, but previous work ...

Brillio Inc

Data Scientist / R Modeller

Irving, TX

R Programming (2+ years) * Experience with Statistical Analysis (2+ years) * Linux and Hadoop experience - needs to have an understanding of these, no minimum requirements, but previous work ...

Parexel

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 ...

Parexel

Senior RWE/RWA Programmer

New Brunswick, NJ · On-site +1

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 ...

Parexel

Senior RWE/RWA Programmer

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 ...

GSK

Principal Statistical Programmer

Durham, NC · On-site

Expertise in R programming. * 6+ years of clinical programing experience * 5+ years of experience in the Pharmaceutical or Biotechnology industry. * Experience using generative AI tools and coding ...

USM

C++ Developer-----Need GC and USC

Cincinnati, OH · On-site

$47 - $63.25/hr

C++, R programming This resource will be responsible for C++ and R programming to help do segmentation and extension work. They need to be able to work with analytical functions and have some ...

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How much do r programmer jobs pay per year?

As of Jul 21, 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.

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 academia. Proficiency in data visualization, statistical modeling, and tools like RStudio increases employability, with many roles requiring experience in data manipulation and analysis.

What jobs require R programming?

Jobs that require R programming include data analyst, data scientist, biostatistician, research scientist, and statistical programmer roles. These positions often involve data analysis, statistical modeling, and visualization, and may require knowledge of related tools like RStudio and packages such as ggplot2 or dplyr.

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.

What tech jobs pay $400,000 a year?

For R programmers, high-paying roles such as senior data scientists, machine learning engineers, or quantitative analysts can reach or exceed $400,000 annually, especially in finance, tech, or consulting firms. These positions typically require advanced skills in statistical modeling, programming, and experience with big data tools, often supplemented by advanced degrees and certifications. Compensation varies based on experience, location, and company size.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and visualization in 2026. Data scientists and statisticians often use R alongside tools like RStudio and packages such as ggplot2 and dplyr, maintaining its relevance in research, academia, and industry. Proficiency in R continues to be valuable for roles requiring data manipulation and statistical modeling.
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R Programmer jobs near you
Infographic showing various R Programmer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 87% Full Time, 5% Part Time, 5% Contract, 1% Nights, and 1% Summer. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $124,000 per year, or $59.6 per hour.
Electrical Engineer - Substation

Electrical Engineer - Substation

EG&R Engineering PC

Somerset, NJ • On-site

$70K - $100K/yr

Full-time

Re-posted 20 days ago

Job description

EG&R is seeking an Electrical Engineer with experience in the Power Industry (Power Plants / Substations) who is self-motivated and ready to contribute to the future success of EG&R Engineering PC.
Responsibilities:

Main responsibilities include creating electrical protection & control and/or physical layout design deliverables for Power Plants and Substations.
  • Prepare electrical schematics, single lines, calculations, and specifications for the design of electrical distribution systems for Power Plants and Substations.
  • Supervise and Coordinate Electrical Engineers and Designers in day to day tasks to support project needs.
  • Review and support the preparation of physical substation design, sections and details, grounding, lightning protection, control building arrangements, interior and exterior raceways, auxiliary AC/DC power systems, and associated bills of material is required.
  • Develop protection and control designs including panel arrangements, one lines/single lines, three lines, AC schematics, DC elementaries, equipment wiring and relay panel wiring as required.
  • Prepare calculations for studies and reports (grounding, lighting protection, AC/DC load studies, etc.)
  • Prepare equipment specifications for procurement
  • Provide short term field support during construction
Qualifications:

  • Must be legally authorized to work in United States. We do not provide Visa Sponsorship at this time.
  • 2 to 5 years of experience in Engineering and Design for Substations and/or Power Plants
  • Bachelor of Science/Master’s degree in electrical engineering (Power Distribution/Power Systems) from an accredited institution.
  • Desire to obtain Engineer-in-Training (EIT) certification and ultimately Professional Engineer (PE) license
  • AutoCAD and/or Microstation experience
  • Proficiency with National Electrical Safety Code and IEEE / ANSI Standards
  • Strong problem solving, organizational, and interpersonal skills.
  • Aptitude to work in a team environment
  • Excellent written & verbal communication skills
  • Strong management skills and a desire to grow professionally
  • Capability of solving difficult problems that require adaptation and modification of standard approaches, techniques, procedures and criteria

Flexible work from home options available.