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Intern R Programmer Jobs in Austin, TX (NOW HIRING)

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Intern R Programmer information

See Austin, TX salary details

$11

$19

$26

How much do intern r programmer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for intern r programmer in Austin, TX is $19.08, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.20 per hour, depending on experience, location, and employer.

What does an Intern R Programmer do?

An Intern R Programmer assists in developing and maintaining data analysis scripts using the R programming language. They often work with teams to clean, organize, and analyze datasets, generate reports, and support research or business projects. As an intern, they may also learn best practices in coding, documentation, and testing while gaining practical experience in statistical analysis and data visualization. Their work helps organizations make data-driven decisions and gain insights from large or complex datasets.

What are the key skills and qualifications needed to thrive as an Intern R Programmer?

To thrive as an Intern R Programmer, you need a solid understanding of statistical analysis, data manipulation, and proficiency in R programming, often supported by coursework in statistics, computer science, or related fields. Experience with data visualization libraries (such as ggplot2), familiarity with version control systems like Git, and knowledge of data wrangling packages are typically expected. Strong problem-solving skills, attention to detail, and effective communication help you work collaboratively and present complex results clearly. These skills are crucial for producing accurate analyses, supporting team projects, and contributing meaningful insights from data.

What types of projects and tasks can an Intern R Programmer expect to work on during their internship?

As an Intern R Programmer, you'll typically assist with data cleaning, exploratory data analysis, and the development of scripts or reports using R. Interns often collaborate closely with data scientists, analysts, or research teams to support larger projects such as statistical modeling, data visualization, and automation of routine processes. You may also help maintain documentation and contribute to code reviews, gaining exposure to best practices in programming and data analysis. These experiences offer valuable opportunities to learn industry-standard workflows and build foundational skills for a future career in data science or analytics.

What is the difference between Intern R Programmer vs Data Analyst?

AspectIntern R ProgrammerData Analyst
Required CredentialsBasic programming skills, coursework in RBachelor's in statistics, data science, or related field
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time, corporate or research settings
Employer & Industry UsageTech companies, research institutions, startupsBusiness, finance, healthcare, marketing
Common Search & Comparison IntentEntry-level R programming roles, internshipsData analysis tasks, career progression

The Intern R Programmer typically focuses on learning and assisting with R programming tasks in an internship setting, requiring basic coding skills. In contrast, a Data Analyst often has a broader role involving data interpretation, reporting, and decision-making, usually requiring a degree in a related field. Both roles are common in tech and research industries, but they differ in experience level and scope of responsibilities.

Are intern R programmers in demand?

Intern R programmers are in demand in data analysis, research, and analytics roles, especially in industries like healthcare, finance, and technology. Proficiency in R, along with skills in data visualization and statistical modeling, increases employability for entry-level positions and internships.

What are the most commonly searched types of R Programmer jobs in Austin, TX?

The most popular types of R Programmer jobs in Austin, TX are:

Intern R Programmer jobs near you

(FALL) Data Analyst Intern

IntegraFEC - Internships

Austin, TX • On-site

Internship

This job post has expired today. Applications are no longer accepted.

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.

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