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Internship R Programming Language Jobs in Greenville, SC

... language of industry. How will you make a difference? You will be responsible for assembling and ... Assemble, test, and inspect according to engineering drawings and test codes * Work with electrical ...

... language of industry. How will you make a difference? You will be responsible for assembling and ... Assemble, test, and inspect according to engineering drawings and test codes * Work with electrical ...

... language of industry. How will you make a difference? You will be responsible for assembling and ... Assemble, test, and inspect according to engineering drawings and test codes * Work with electrical ...

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Internship R Programming Language information

See Greenville, SC salary details

$8

$16

$22

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

As of Jun 19, 2026, the average hourly pay for internship r programming language in Greenville, SC is $16.27, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $18.08 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 are popular job titles related to Internship R Programming Language jobs in Greenville, SC? For Internship R Programming Language jobs in Greenville, SC, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Greenville, SC look for? The top searched job categories for Internship R Programming Language jobs in Greenville, SC are:
What cities near Greenville, SC are hiring for Internship R Programming Language jobs? Cities near Greenville, SC with the most Internship R Programming Language job openings:
Infographic showing various Internship R Programming Language job openings in Greenville, SC as of June 2026, with employment types broken down into 1% As Needed, 64% Full Time, 30% Part Time, 1% Temporary, and 4% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $33,845 per year, or $16.3 per hour.
Lab Technician - Plastics Additives R&D

Lab Technician - Plastics Additives R&D

Milliken

Spartanburg, SC

Other

Posted 10 days ago


Milliken & Company rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

23rd of 55 rated fashion and textile manufacturers


Job description

Milliken & Company is a global manufacturing leader whose focus on materials science delivers tomorrow's breakthroughs today. From industry-leading molecules to sustainable innovations, Milliken creates products that enhance people's lives and deliver solutions for its customers and communities. Drawing on thousands of patents and a portfolio with applications across the textile, flooring, chemical and healthcare businesses, the company harnesses a shared sense of integrity and excellence to positively impact the world for generations. Discover more about Milliken's curious minds and inspired solutions at Milliken.com and on Facebook, Instagram and  LinkedIn.

POSITION TITLE   

Lab Technician - Plastics Additives R&D   

POSITION OVERVIEW   

We are hiring a Lab Technician to execute analytical testing, support polymer processing trials, manage sample workflows, and coordinate across R&D, analytical labs, Technical Service & Development, regulatory, shipping, and commercial teams-a high-visibility role where your data directly informs product-release decisions, customer readiness, and commercialization timelines. 

JOB RESPONSIBILITIES   

  • Execute analytical testing across polymer characterization and additive-analysis methods, including FTIR, GC, active oxygen, moisture, MFR, DSC, Crystex, SAOS/rheology, gel content, impact, and flexural testing. 

  • Support polymer processing trials, including twin-screw extrusion compounding, injection molding, and blending operations-from material staging and parameter setup through sample collection, evaluation, and troubleshooting. 

  • Manage sample workflows end-to-end-preparation, labeling, safe handling and storage of additives including peroxides and oxidizers, inventory tracking, QC release, and domestic/international shipment with SDS and regulatory documentation. 

  • Coordinate across functions as the operational link between R&D scientists, analytical specialists, TS&D engineers, sales, regulatory, shipping, tolling facilities, and customer technical contacts. 

  • Maintain data integrity across shared project datasets, master data files, QC spreadsheets, laboratory records, and Technical Service Requests (TSRs). 

  • Support method development, validation, and transfer, including documentation, calibration standards, and troubleshooting analytical variability. 

  • Communicate proactively-provide updates, flag risks, close loops, and keep stakeholders informed across concurrent projects. 

QUALIFICATIONS - REQUIRED   

  • BS degree in Chemistry or related technical field or 5 years of relevant work experience in lieu of degree

  • 2+ years of hands-on laboratory experience in a polymer, plastics, or chemical environment 

  • Proficiency in multiple polymer characterization or analytical chemistry techniques 

  • Working knowledge of sample preparation, handling, and storage for polymer and chemical-additive materials 

  • Proficiency with Microsoft Office (Excel, Word, Outlook, Teams) and a LIMS or lab notebook 

  • Strong organizational, communication, and multi-tasking skills 

QUALIFICATIONS - PREFERRED 

  • M.S. in a related field; 3+ years in plastics additives or polyolefin environments 

  • Hands-on experience with polymer processing equipment, including twin-screw extruders, injection molding machines, single-screw extruders, or dry-blending/compounding equipment 

  • Experience with advanced characterization techniques (Crystex, TREF/TGIC, GPC, SAOS, SEM) 

  • Familiarity with method development/validation, DOE, JMP or Minitab, SAP, and international shipping documentation 

The successful candidate will have strengths in the following:   

Analytical Rigor 

Produce data people can bet decisions on-accurately and independently 

Problem Solving 

Investigate anomalies and propose next steps, not just report results 

Processing Aptitude 

Understand how materials behave during extrusion, molding, and compounding-and how processing affects performance 

Ownership 

Track work from request to completion; nothing falls through the cracks 

Cross-Functional Fluency 

Speak the language of the lab, the plant, the customer, and the shipping dock 

Milliken is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to actual or perceived race, color, creed, religion, sex or gender (including pregnancy, childbirth or related medical condition, including but not limited to lactation), sexual orientation, gender identity or gender expression (including transgender status), ancestry, national origin, citizenship, age physical or mental disability, genetic information, marital status, veteran or military status or any other characteristic protected by applicable law.

To request a reasonable accommodation to complete a job application, pre-employment testing, a job interview, or to otherwise participate in the hiring process, please contact TalentAcquisition@milliken.com.


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