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Internship R Programming Language Jobs in Manhattan, NY

Integrated Resources INC

Data Scientist

Newark, NJ · On-site

Experience with tools such as R Programming, visualizations, SAS, Open Source etc. Experience and in-depth knowledge of the SAS Enterprise Miner, Python programming language or similar Knowledge of ...

Jane Street

Software Engineer

New York, NY · On-site

Learn more about Jane Street's internship program here. About the Position As a Software Engineering intern, you'll learn how we use OCaml (our primary development language) in our day to day work ...

Jane Street

Software Engineer

New York, NY · On-site

Learn more about Jane Street's internship program here. About the Position As a Software Engineering intern, you'll learn how we use OCaml (our primary development language) in our day to day work ...

Jane Street

Software Engineer

Manhattan, NY

Learn more about Jane Street's internship program here. About the Position As a Software Engineering intern, you'll learn how we use OCaml (our primary development language) in our day to day work ...

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All JobsInternship R Programming Language JobsInternship R Programming Language Jobs in Manhattan, NY

Internship R Programming Language information

See Manhattan, NY salary details

$10

$19

$26

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

As of Jun 18, 2026, the average hourly pay for internship r programming language in Manhattan, NY is $19.10, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $21.20 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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What cities near Manhattan, NY are hiring for Internship R Programming Language jobs? Cities near Manhattan, NY 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 Manhattan, NY as of June 2026, with employment types broken down into 2% As Needed, 63% Full Time, 30% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $39,725 per year, or $19.1 per hour.

R Programming Consultant

TechDigital Group

Franklin Lakes, NJ

Full-time

Posted 22 hours ago

Job description

Mandatory Skill: Experience in migrating SAS programs to R environment
Key Responsibilities:
  1. Work closely with a cross functional team within biostatistics, data management, and analytics to transition applications written in SAS or VBASIC to R.
  2. Conduct code review and technical assessment of legacy programs and suitability for migration to R.
  3. Recode applications in SAS to R; Select appropriate R packages, functions, and algorithms to migrate legacy SAS programs to the R environment.
  4. Develop and maintain documentation associated with migration activities including programming specifications, validations plans, test cases, and reports.
  5. Support training and mentoring of experienced SAS users as they migrate to the R environment.
  6. Candidates must have experience programming in SAS and R directed towards analysis of clinical trial data and in supporting ETL pipelines from clinical data management to biostatistics.
  7. Ideal candidates will have experience supporting transition of statistical analysis programs from SAS to R.
  8. Strong programming experience within SAS, R, and SQL is required. Experience with Python, VBASIC, and a dashboard language such as PowerBI, Qlik, or Tableau is a plus.
  9. Experience with modern database platforms, such as SnowFlake and Delta DataLake, is desired.
  10. A minimum of 8 years in a statistical programming capacity, preferably within the medical device or biopharmaceutical industry."
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