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Intern R Programmer Jobs in New York, NY (NOW HIRING)

Data Engineer

New York, NY

$125K - $150K/yr

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable ... Comfortable manipulating data in Python, SQL, R, or similar. You don't need to be a polished ...

Senior Software Engineer

New York, NY

$134K - $176K/yr

Reporting to the CTO, you will lead a group of engineers (senior, junior and intern) and are also willing to work hands-on with coding efforts. You will make sure that everyone in engineering has the ...

Program Coordinator

Queens Village, NY · On-site

$57K - $60K/yr

A.R.) Programs in the High School and College Success division will report directly to the ... Design and deliver innovative programming for high school juniors and seniors in the areas of ...

Required : • Development experience in Python or R (C, C++, Java, etc is a plus) • Machine ... Veterinary, Engineering, Operations, Sales, Quality, HR, and Finance positions. Founded in 2011 ...

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Intern R Programmer information

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How much do intern r programmer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for intern r programmer in New York, NY is $21.06, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $23.41 per hour, depending on experience, location, and employer.

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

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.

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 most commonly searched types of R Programmer jobs in New York, NY? The most popular types of R Programmer jobs in New York, NY are:
What cities near New York, NY are hiring for Intern R Programmer jobs? Cities near New York, NY with the most Intern R Programmer job openings:
Data Engineer

$125K - $150K/yr

Other

Re-posted 27 days ago


Job description

About the Position

Our goal is to give you a real sense of what it's like to work at Jane Street full time. Over the course of your internship, you will explore ways to approach and solve exciting problems within your field of interest through fun and challenging classes, interactive sessions, and group discussions - and then you will have the chance to put those lessons to practical use.

As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and proprietary software; and work with a mix of structured and unstructured data (think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds).

During the internship you'll take on two real projects. You'll get your hands on an unfamiliar dataset, figure out what it actually contains, dig into parts that don't make sense, and explain your findings. You'll write code to ingest and transform data and to monitor its quality. You'll be mentored by full-time Data Engineers and learn about business context from data users, but the projects will be yours to own.

Learn more about Jane Street's internship program here.

About You

We don't expect you to have a background in computer science, data engineering, finance, or any other specific field-we're looking for smart, inquisitive people who enjoy solving interesting problems. We're more interested in how you think and learn than what you currently know. You should be:

  • Curious about what data means, not just how to move it from one place to another
  • Comfortable manipulating data in Python, SQL, R, or similar. You don't need to be a polished software engineer, but you should be able to turn an idea into working code
  • An analytical and logical thinker. You're able to investigate something new, ask good questions, and come to sound conclusions
  • Humble and eager to ask questions, admit mistakes, and learn new things
  • Courteous, reliable, and organized
  • A clear verbal and written communicator