ZipRecruiter

Log In

1

Internship R Programming Language Jobs in Raleigh, NC

Contemporaries

Data Engineer

Durham, NC · On-site

$57 - $63/hr

Strong experience using the R programming language. * Experience designing and maintaining database structures supporting large-scale datasets. * Experience developing reproducible data pipelines and ...

GEI Consultants

AI Engineer

Cary, NC

$110K - $150K/yr

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

GEI Consultants

AI Engineer

Cary, NC · On-site

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

NC SECU

Model Risk Analyst

Raleigh, NC · Hybrid

Advanced programming skills in a statistical programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis on complex modeling and analytical challenges and to ...

GDIT

Software Developer Principal

Raleigh, NC · On-site +1

Skills: Agile Methodology, COBOL, Java (Programming Language), JSON, Web Applications ... Work with the existing NCTracks development team to support current R&M activities on the Claims ...

North Carolina State University

LAS Intern

Raleigh, NC · On-site

$14.50 - $19.50/hr

... and engineering. This posting will remain open as we hire interns throughout the year from ... language Required License or Certification - N/A Valid NC Driver's License required? - No ...

Redhat

Software Engineer

Durham, NC · On-site +1

$96K - $154K/yr

Must have one (1) year of experience with: working with JavaScript or Python programming language; working with Git and GitHub; managing software deployment with Red Hat OpenShift; building and ...

New

Becton, Dickinson and Company

Engineer II

Durham, NC · Remote

Strong understanding of modular programming, code reviews, unit testing, documentation, and version ... Exposure to engineering or scientific computing environments (Python scientific stack, MATLAB, R ...

Becton, Dickinson and Company

Engineer II

Durham, NC · On-site

$94K - $129K/yr

Strong understanding of modular programming, code reviews, unit testing, documentation, and version ... Exposure to engineering or scientific computing environments (Python scientific stack, MATLAB, R ...

next page

Showing results 1-20

All JobsR Programming Language JobsInternship R Programming Language JobsInternship R Programming Language Jobs in Raleigh, NC

Internship R Programming Language information

See Raleigh, NC salary details

$8

$16

$23

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

As of Jul 13, 2026, the average hourly pay for internship r programming language in Raleigh, NC is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 per hour, depending on experience, location, and employer.

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 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 are the most commonly searched types of R Programming Language jobs in Raleigh, NC? The most popular types of R Programming Language jobs in Raleigh, NC are:
What are popular job titles related to Internship R Programming Language jobs in Raleigh, NC? For Internship R Programming Language jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Raleigh, NC look for? The top searched job categories for Internship R Programming Language jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Internship R Programming Language jobs? Cities near Raleigh, NC with the most Internship R Programming Language job openings:
Internship R Programming Language jobs near you
Data Engineer

Data Engineer

Contemporaries

Durham, NC • On-site

$57 - $63/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Contemporaries Inc. is supporting the National Institute of Environmental Health Sciences (NIEHS) in the recruitment of a Data Engineer to support environmental health and extreme weather research initiatives. This long-term contract opportunity offers remote work flexibility and will focus on developing and optimizing data infrastructure that supports scientific modeling, geospatial analytics, and computational research workflows.


Position Responsibilities:

  • Design and implement optimized database structures to support scientific modeling workflows.
  • Develop and maintain data schemas that ensure efficient querying and storage for large-scale scientific datasets.
  • Develop and enhance PTB, CHORDS, and HEW geospatial database management capabilities.
  • Work with geospatial datasets and data formats such as NetCDF, GeoTIFF, HDF5, and other environmental data standards.
  • Build, document, and maintain end-to-end model pipelines using reproducibility and version control standards.
  • Develop workflows utilizing R-based Targets and Python-based Snakemake frameworks.
  • Implement automated testing frameworks and validation protocols to ensure pipeline reliability and consistency.
  • Develop and test protocols for GPU-accelerated execution of R- and Python-based models.
  • Create documentation and best practices related to GPU resource allocation and performance monitoring.
  • Design, develop, and deploy Shiny applications for real-time data exploration and model output visualization.
  • Ensure visualization applications are user-friendly, performant, and integrated with existing data infrastructure.
  • Optimize R-based models through parallelization, vectorization, and algorithmic improvements.
  • Configure and optimize workflows within high-performance computing environments, including job scheduling and resource management.
  • Port performance-critical components to compiled languages such as C++ or Rust when appropriate.
  • Collaborate with scientific teams to provide technical guidance and support environmental health research initiatives.


Required Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Data Science, Bioinformatics, Statistics, Environmental Science, or a related field.
  • Minimum of three (3) years of professional experience in data engineering, software engineering, computational research support, or a related field.
  • Strong experience using the R programming language.
  • Experience designing and maintaining database structures supporting large-scale datasets.
  • Experience developing reproducible data pipelines and workflows.
  • Experience with shell scripting, including Bash.
  • Experience working in Linux-based computing environments.
  • Experience with batch job scripting and scheduling tools such as SLURM.
  • Experience developing interactive applications using Shiny.
  • Strong analytical, problem-solving, and technical communication skills.


Preferred Qualifications

  • Experience working with geospatial or environmental datasets.
  • Familiarity with geospatial data formats such as NetCDF, GeoTIFF, and HDF5.
  • Experience using Python for workflow development or automation.
  • Experience utilizing Snakemake, Targets, or similar pipeline orchestration frameworks.
  • Experience supporting high-performance computing environments and GPU-enabled workflows.
  • Experience optimizing code through parallelization, vectorization, or compiled languages such as C++ or Rust.
  • Experience supporting environmental health, climate, or extreme weather research initiatives.
  • Experience supporting NIH, HHS, or other federally funded scientific research programs.
  • Experience contributing to technical documentation, scientific publications, or collaborative research efforts.

Company Description

Contemporaries is a government contracting firm who has been providing HR and Staff support to both federal and private organizations for over 35 years. Specializing in Administrative and related opportunities, while also working with Scientific, IT, Legal, Research, and related opportunities.