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Intern R Programming Language Jobs in Raleigh, NC

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 ...

LAS Intern

Raleigh, NC · On-site

$14.50 - $19.50/hr

LAS Intern Applicants should submit a resume, cover letter, and contact information for three ... programming language Required License or Certification - N/A Valid NC Driver's License required ...

Project Engineer Intern

Raleigh, NC

$16.25 - $21.25/hr

Please be advised that housing or relocation assistance is not provided for intern positions within ... language communication skills Ability to use independent judgment; self-starting Drafting and ...

... programming and support communities across Durham and beyond. Be Bold. The Community Research ... Experience with data analysis tools (e.g., Excel, R, Python, GIS, etc.) is a plus * Excellent ...

... programming and support communities across Durham and beyond. Be Bold. The Community Research ... Experience with data analysis tools (e.g., Excel, R, Python, GIS, etc.) is a plus * Excellent ...

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 ...

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 ...

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 ...

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 ...

Froehling & Robertson, Inc., (F&R) has been proudly engineering stability in the country since 1881 ... Or an Engineering Intern (EI) with at least 1 year of relevant experience * ACI Concrete Field ...

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Intern R Programming Language information

See Raleigh, NC salary details

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

As of Jul 14, 2026, the average hourly pay for intern r programming language in Raleigh, NC is $16.56, 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.

Is 22 too old for an internship?

Intern R Programming Language internships are open to candidates of various ages, including those who are 22. Age is generally not a barrier, and employers often value skills, relevant coursework, and enthusiasm over age. Many internships welcome early-career professionals or those seeking to gain experience in data analysis and programming tools like R.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and data visualization in 2026. Data analysts and statisticians, including those applying for R programming internships, continue to rely on R alongside tools like Python, especially in academia and research environments.

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, academia, and market research for data analysis and reporting.

Is R programming still in demand?

R programming remains in demand for data analysis, statistical modeling, and research roles, especially in industries like healthcare, finance, and academia. Professionals skilled in R, along with data visualization and statistical techniques, are valued as organizations increasingly rely on data-driven decision-making.

What is the difference between Intern R Programming Language vs Data Analyst Intern?

AspectIntern R Programming LanguageData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationData analysis, Excel, SQL, basic R knowledge
Work EnvironmentResearch labs, data science teams, tech companiesBusiness departments, marketing, finance teams
Industry UsageData science, research, analytics projectsBusiness intelligence, reporting, data interpretation

Intern R Programming Language roles focus on developing skills in R for data analysis and visualization, often within research or data science teams. Data Analyst Intern positions involve applying analytical skills to interpret data for business insights, sometimes using R but often emphasizing Excel and SQL. Both roles require analytical thinking but differ in technical depth and industry focus.

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 Intern R Programming Language jobs in Raleigh, NC? For Intern R Programming Language jobs in Raleigh, NC, the most frequently searched job titles are:
Data Engineer

Data Engineer

Contemporaries

Durham, NC • On-site

$57 - $63/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

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.