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Internship R Programming Language Jobs in Philadelphia, PA

RegDesk Inc

Front End Developer Internship

Philadelphia, PA · On-site

$104K - $122K/yr

You don't have to be able to code in every language, but we're looking for extremely fast learners ... An engaging internship with a growing startup that could turn into a full time opportunity.

RxBenefits

Associate Software Engineer

Wilmington, DE · On-site +1

... programming skills, a desire to learn full-stack development, and the ability to work within a ... internship experience counts) * Experience with Java, Python, Go, or a comparable backend language

Mason-Grey Corporation

Be Seen First

Informatica Developers

West Chester, PA · Remote

$64 - $68/hr

Mason-Grey is hiring a Senior Scientist with Programming and Coding experience in Manufacturing or ... language, define acceptance criteria, compile technical justification, compendial review and ...

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All JobsInternship R Programming Language JobsInternship R Programming Language Jobs in Philadelphia, PA

Internship R Programming Language information

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$17

$24

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

As of Jun 19, 2026, the average hourly pay for internship r programming language in Philadelphia, PA is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.42 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.
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Internship R Programming Language jobs near you
Data Scientist

Data Scientist

US General Services Administration

Philadelphia, PA • On-site

$125K/yr

Other

Posted 9 days ago

Job description

As a Data Scientist, you will serve as a senior authoritative subject matter expert for developing new methods to automate reports, develop predictive models, and analyze trends.
Location of position: GSA, Federal Acquisition Service (FAS), Office of Policy and Compliance, Acquisition Evidence & Analysis Division.
The Acquisition Evidence and Analysis Division is responsible for conducting analysis and evaluation of acquisition activities to ensure compliance of acquisition across FAS.

Qualifications:

For each job on your resume, provide:

  • the exact dates you held  each job (from month/year to month/year)
  • number of hours per week you worked (if part time).    

If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume.
The GS-14 salary range starts at $125776 per year.
If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected.  
To qualify, you must have at least one year of specialized experience equivalent to the GS-13 level or higher in the Federal service. 

All candidates for Data Scientist positions must meet one of the following basic qualification requirements:

A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or

B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

This position has a positive education requirement: Applicants must submit a copy of their college or university transcript(s) and certificates by the closing date of announcements to verify qualifications. If selected, an official transcript will be required prior to appointment.  

SPECIALIZED EXPERIENCE:  In addition to meeting the basic requirements above, applicants must demonstrate that they have at least one year of specialized experience equivalent to the GS-13 level in Federal service. Specialized experience is experience utilizing computer science, mathematical and statistical theories, techniques, and methods to gather, analyze, design, and construct new processes for modeling, interpreting, and/or reporting quantitative information, trends, relationships and correlations among or within data sets. Experience must include:

●       Performing data analysis across data lifecycle (e.g. data collection, ingestion, storage, modeling, access, integration, analysis and decision support) to ensure compliance with the organization’s mission;

●       Implementing data collection and analysis utilizing analysis software (e.g. R Studio, Tableau), coding languages (e.g., python, java, scala), database structures, and/or queries using structured query language (SQL) to provide support on issues related to acquisition activities;

●       Using programming language(s) as well as various applications to organize, manipulate, to derive meaning from big data (e.g. extremely large, disparate, unstructured, and/or otherwise complex datasets).; and

●       Delivering presentations, (e.g. briefings, training sessions, and consultations) regarding the progress and/or results of projects/studies.

Education:

Note: If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit:  https://sites.ed.gov/international/recognition-of-foreign-qualifications/ 

Employment Type: OTHER

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