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Internship R Programming Language Jobs in Clinton, NJ

Vantage

Java Team Lead

New Hope, PA

... to mentor others (interns, rookies, and junior developers). * Relaxed yet enthusiastic and ... natural language technologies into a broad spectrum of vertical markets and industries. We ...

Spgi

Senior Data Scientist

Princeton, NJ · On-site

$90K - $160K/yr

... large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering,fine-tuning ... Airflow, Redis,Flask/Django/FastAPI,SQL,R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt ...

Spgi

Senior Data Scientist

Princeton, NJ

$90K - $160K/yr

... large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning ... Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt ...

S&P Global

Senior Data Scientist

Princeton, NJ · On-site

$90K - $160K/yr

... large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering,fine-tuning ... Airflow, Redis,Flask/Django/FastAPI,SQL,R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt ...

S&P Global

Senior Data Scientist

Princeton, NJ · On-site

$90K - $160K/yr

... large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning ... Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt ...

Nestle

Senior Data Scientist

Bridgewater, NJ · On-site

Design deep learning and natural language processing models to analyze complex data across business ... Hands-on programming experience in Python and R, leveraging advanced cognitive and machine learning ...

Bloomberg LP

Product Manager- Index

Princeton, NJ · On-site

They connect asset managers, banks, and data consumers through a shared language of benchmarks and ... Partner with Engineering, Data, and Product teams to deliver scalable solutions aligned with ...

Chubb

Senior Actuarial Analyst

Whitehouse Station, NJ · On-site

Familiarity with a programming or querying language, such as SQL / R / Python along with a keenness for data (collection, manipulation, report design, sensibility checks, and attention to detail) is ...

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Internship R Programming Language information

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

As of Jun 27, 2026, the average hourly pay for internship r programming language in Clinton, NJ is $18.05, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $20.05 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.
What job categories do people searching Internship R Programming Language jobs in Clinton, NJ look for? The top searched job categories for Internship R Programming Language jobs in Clinton, NJ are:
What cities near Clinton, NJ are hiring for Internship R Programming Language jobs? Cities near Clinton, NJ with the most Internship R Programming Language job openings:
Internship R Programming Language jobs near you
Research Data Storage Developer

Research Data Storage Developer

RiseIT Solutions

Princeton, NJ • On-site

$114K/yr

Full-time

Posted 3 days ago

Job description

Title: Research Data Storage Developer (15005)
Location: Princeton, NJ (08540)
Type: Perm Role
Rate: $114K per year
Education: Bachelor's degree
Reporting to the Director of Advanced Data and Storage Management, this 3-year term position will provide critical development work on the configuration of custom integrations, workflow, and data extraction processes to assist with the implementation of TigerData, a data storage and management system that supports the advancement of research at the client. Understanding the needs of faculty researchers and collaborating with developers in the Library, you will develop processes and tools for metadata entry and management, automated metadata harvesting from common file types and other campus systems, and automation workflows for ensuring smooth transitions between storage stages, including movement of data to publication and long-term archive.
This is a 3-year benefits-eligible term position.
Job Duties and Responsibilities
  • Build, test, debug, and document software designed to support research data management, including discovery, metadata extraction from common file types and other campus systems, and data movement workflows
  • Develop interfaces for the TigerData presentation layer using API
  • Integrate with data sources such as TigerData, ORCID, Globus, cloud storage, and existing data repositories.
  • Analyze, transform, migrate, and process data and metadata
  • Build tools and workflows to validate research data submissions
  • Automate and streamline manual or inefficient tasks
  • Help plan and estimate work on software projects
  • Embedded with a team of PUL developers working in an agile environment
  • Maintain a strong partnership with the PUL software development group to enhance collaboration in the implementation of TigerData
Qualifications
Essential Qualifications:
  • Minimum of 3-5 years’ experience as a developer working in an environment that includes complex software systems, object-oriented programming, web-based applications and services, and distributed architecture
  • Demonstrated experience with an object oriented language, preferably Ruby or Java
  • Experience building complex web forms that drive workflows and meet contemporary usability guidelines using modern HTML, CSS, and Javascript frameworks
  • Demonstrated experience with test-driven development, preferably using RSpec or JUnit
  • Ability to work in a Linux-based environment
  • Willingness to learn new technologies and data/metadata formats
  • Experience with Agile software development practices
  • Strong oral and written communication skills
  • Education: A bachelor’s degree or equivalent experience.
Preferred Qualifications:
  • Experience with relevant cultural heritage metadata formats (such as MARC, MODS, and Dublin Core); ideally with archival and/or geospatial metadata formats
  • Experience with Python or R
  • Experience with research data management and institutional repositories
  • Experience with data harvesting APIs such as OAI-PMH or ResourceSync
  • Familiarity with best practices for data modeling and data management
  • Experience working on and contributing to open source software projects
  • Proficiency with common tools for source code version control, collaboration, and deployment; such as Git, GitHub, Capistrano and Ansible
  • Experience with DevOps and deployment automation
Advanced degree in Library Science, Computer Science, Geographic Information Systems, or another research field.

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