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Internship R Programming Language Jobs (NOW HIRING)

Strong proficiency in Base SAS, SAS/STAT and SAS Macro language. Advanced SAS certification preferred. * Strong proficiency in R, advanced R programming preferred. * Experience with CDISC datasets ...

$16 - $22/hr

Through educational programming, language revitalization, arts, and community collaboration, GHF ... This internship emphasizes hands-on learning, mentorship, and professional development while ...

Through educational programming, language revitalization, arts, and community collaboration, GHF ... This internship emphasizes hands-on learning, mentorship, and professional development while ...

Through educational programming, language revitalization, arts, and community collaboration, GHF ... This internship emphasizes hands-on learning, mentorship, and professional development while ...

Experience with R programming language for data analysis or another programming language (preferred) Examples of EWG research projects: * A study of the racial and social disparities in pesticide ...

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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 May 30, 2026, the average hourly pay for internship r programming language in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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.

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 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.

More about Internship R Programming Language jobs
What cities are hiring for Internship R Programming Language jobs? Cities with the most Internship R Programming Language job openings:
What are the most commonly searched types of R Programming Language jobs? The most popular types of R Programming Language jobs are:
What states have the most Internship R Programming Language jobs? States with the most job openings for Internship R Programming Language jobs include:
Infographic showing various Internship R Programming Language job openings in the United States as of May 2026, with employment types broken down into 4% Internship, 76% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

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Job description

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications  to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university's top intellectual talent.  

As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you:  

  • Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry  
  • Opportunities to work on team-based and individual projects  
  • Visibility to industry experts  

Job Qualifications:  

  • Familiarity with R, SQL, Python, or other scripting languages
  • Proficiency in Microsoft Excel
  • Attention to detail with big-picture understanding
  • Ability to work well in teams
  • Highest ethical standards
  • All education levels (Bachelor's, Master's, or Ph.D.) welcome

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.