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Internship R Programming Language Jobs in Glassboro, NJ

SCM

Quantitative Research Analyst Internship

Radnor, PA · On-site

Opportunities, including full-time summer internships and part-time work throughout the school year ... Programming experience, ideally including R, C++ and/or Python. * Experience with regression ...

SCM

Quantitative Research Analyst Internship

Radnor, PA · On-site

Opportunities, including full-time summer internships and part-time work throughout the school year ... Programming experience, ideally including R, C++ and/or Python. * Experience with regression ...

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

As of Jun 2, 2026, the average hourly pay for internship r programming language in Glassboro, NJ is $16.73, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $18.61 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.

What are popular job titles related to Internship R Programming Language jobs in Glassboro, NJ? For Internship R Programming Language jobs in Glassboro, NJ, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Glassboro, NJ look for? The top searched job categories for Internship R Programming Language jobs in Glassboro, NJ are:
What cities near Glassboro, NJ are hiring for Internship R Programming Language jobs? Cities near Glassboro, NJ with the most Internship R Programming Language job openings:
Internship R Programming Language jobs near you
Infographic showing various Internship R Programming Language job openings in Glassboro, NJ as of May 2026, with employment types broken down into 4% Internship, 2% As Needed, 53% Full Time, 31% Part Time, 2% Temporary, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $34,802 per year, or $16.7 per hour.

Quantitative Research Analyst Internship

Stevens Capital Management LP - Full Time and Internships

Radnor, PA

Other

Posted 18 days ago

Job description

We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process.  The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.

Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.

Primary Responsibilities

  • Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
  • Build data sets and conduct statistical analysis on the data.

Requirements

  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines). 
  • Programming experience, ideally including R, C++ and/or Python.
  • Experience with regression analysis.
  • Strong interest in learning how to build, organize and analyze large data sets.
  • Strong organizational and communication skills.

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