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Internship R Programming Language Jobs in Raleigh, NC

Data Scientist

Durham, NC · Remote

$51 - $58/hr

We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis, and data visualization who are excited about supporting impactful public ...

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Data Engineer

Durham, NC · On-site

$57 - $63/hr

Strong experience using the R programming language. * Experience designing and maintaining database structures supporting large-scale datasets. * Experience developing reproducible data pipelines and ...

AI Engineer

Cary, NC · On-site

$110K - $150K/yr

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

Advanced programming skills in a statistical programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis on complex modeling and analytical challenges and to ...

Skills: Agile Methodology, COBOL, Java (Programming Language), JSON, Web Applications ... Work with the existing NCTracks development team to support current R&M activities on the Claims ...

AWS Data Engineer with R

Raleigh, NC · On-site

$111K - $133K/yr

Required : • Experience in R scripting language. • Experience with R in building cloud-native data pipelines and interactive analytics dashboards. • Experience in integrating and deploying ...

Programming skills in a statistical programming language, such as SAS, R, or Python. Ability to independently write computer code to perform analysis on complex modeling and analytical challenges and ...

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Internship R Programming Language information

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How much do internship r programming language jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for internship r programming language in Raleigh, NC is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 per hour, depending on experience, location, and employer.

Is 30 an hour good for an intern?

For an internship involving R programming, a rate of $30 an hour is considered above average in many regions, especially for entry-level or learning positions. Interns typically earn lower wages, but this rate may reflect specialized skills, remote work, or competitive markets; it is important to consider local standards and the internship's scope. Compensation can vary based on industry, location, and the intern's experience level.

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, and academia for data analysis and modeling.

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

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

Is the R programming language in demand?

The R programming language is in demand for data analysis, statistical modeling, and data visualization roles. Many industries such as healthcare, finance, and research seek professionals skilled in R, especially those familiar with data manipulation packages like dplyr and ggplot2. Proficiency in R can enhance job prospects in data science and analytics fields.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles. Many organizations seek professionals proficient in R for data visualization, statistical modeling, and machine learning tasks, making it a valuable skill for internships and entry-level positions in these fields.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.
What are the most commonly searched types of R Programming Language jobs in Raleigh, NC? The most popular types of R Programming Language jobs in Raleigh, NC are:
What are popular job titles related to Internship R Programming Language jobs in Raleigh, NC? For Internship R Programming Language jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Raleigh, NC look for? The top searched job categories for Internship R Programming Language jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Internship R Programming Language jobs? Cities near Raleigh, NC with the most Internship R Programming Language job openings:
Data Scientist

Data Scientist

Contemporaries

Durham, NC • Remote

$51 - $58/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Contemporaries Inc. is a government contracting firm supporting the National Institutes of Health in their efforts to hire a Data Scientist to support environmental health and extreme weather research initiatives. This is a long-term contract opportunity offering remote work flexibility. We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis, and data visualization who are excited about supporting impactful public health and scientific research efforts.

 

Position Responsibilities

  • Support the continued development and optimization of the Amadeus software package within the open-source R programming environment
  • Improve computational performance, reduce package dependencies, and enhance runtime efficiency of the Amadeus code base
  • Develop new geospatial environmental datasets proposed by the health and extreme weather (HEW) research community and leadership team
  • Work within established coding and development style guidelines for the Amadeus R-package
  • Create and revise tutorials related to:
    • data downloads,
    • covariate calculations,
    • statistical model development,
    • and data visualization
  • Utilize the Amadeus R-package to support data sourcing and environmental research workflows
  • Develop and maintain interactive R Shiny dashboards for HEW datasets and scientific reporting
  • Assist with peer-reviewed manuscript development, including data analysis, technical writing, editing, and interpretation of findings
  • Provide scientific guidance, analytical support, and interpretation of results to the research team
  • Collaborate with researchers, analysts, and leadership teams supporting environmental and public health initiatives

 

Minimum Qualifications

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Bioinformatics, Environmental Science, Public Health, or a related field
  • Minimum of 3 years of professional experience in data science, statistical programming, or computational research support
  • Strong experience using the R programming language
  • Experience working with large-scale geospatial or environmental datasets
  • Experience developing dashboards or interactive visualizations using R Shiny
  • Experience with shell scripting such as Bash
  • Familiarity with batch job scripting or high-performance computing environments such as SLURM
  • Strong analytical, technical writing, and problem-solving skills
  • Ability to work independently while supporting collaborative scientific research efforts

 

Preferred Qualifications

  • Experience supporting public health, environmental health, climate, or biomedical research projects
  • Experience contributing to open-source software or research-focused R packages
  • Experience assisting with manuscript preparation or peer-reviewed publications
  • Familiarity with geospatial analysis and statistical modeling techniques

Company Description

Contemporaries is a government contracting firm who has been providing HR and Staff support to both federal and private organizations for over 35 years. Specializing in Administrative and related opportunities, while also working with Scientific, IT, Legal, Research, and related opportunities.