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

As of Jun 3, 2026, the average hourly pay for internship r programming language in Denver, CO is $17.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.81 per hour, depending on experience, location, and employer.

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 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 most commonly searched types of R Programming Language jobs in Denver, CO? The most popular types of R Programming Language jobs in Denver, CO are:
What are popular job titles related to Internship R Programming Language jobs in Denver, CO? For Internship R Programming Language jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Denver, CO look for? The top searched job categories for Internship R Programming Language jobs in Denver, CO are:
Internship R Programming Language jobs near you

NIST PREP Research Associate in Statistical Metrology for Public Safety Communications

Southeastern Universities Research Association

Boulder, CO • On-site

$80K - $85K/yr

Full-time

Posted 7 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Statistical Metrology for Public Safety Communications
The work will entail: This project involves collaborative statistical research with NIST scientists, engineers, and statisticians to advance research in public safety communications. The goals of the research include enhancing the understanding and performance of public safety communication technology, developing a virtual simulation framework for uncrewed aircraft system communications, advancing standards and interoperability for mission critical services between land mobile radio and broadband systems, and evaluating user experience research. The teams involved in these research studies seek to use advanced statistical experimental design in the project planning phase, comprehensive data analysis and modeling of data from complex data structures, and statistical communication relevant to a broad audience.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Working with scientific collaborators to help define and clarify project goals and timelines
  • Designing experiments with statistical principles
  • Data cleaning and exploratory data analysis; for example, developing graphical displays and descriptive statistics
  • Statistical modeling and analysis of data in support of collaborative research goals (e.g., hierarchical modeling, predictive modeling, uncertainty analysis)
  • Implementation of statistical methods via high-level programming language such as R or Python
  • Presentation and communication of results and statistical analysis to non-statisticians

Qualifications
  • Master's degree in statistics or related field.
  • Experience with statistical study design, data cleaning and organizing, creating graphical displays, and statistical modeling, analysis, and computing (e.g., R, Python, Matlab)
  • Strong oral and written communication skills

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004671

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