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Internship R Programming Language information

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 popular job titles related to Internship R Programming Language jobs in Montana? For Internship R Programming Language jobs in Montana, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Montana look for? The top searched job categories for Internship R Programming Language jobs in Montana are:
What cities in Montana are hiring for Internship R Programming Language jobs? Cities in Montana with the most Internship R Programming Language job openings:
Internship R Programming Language jobs near you
Infographic showing various Internship R Programming Language job openings in Montana as of July 2026, with employment types broken down into 7% Internship, 1% As Needed, 68% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.
Research Data Engineer

Research Data Engineer

Montana State University

Bozeman, MT • On-site

$90K/yr

Full-time

Posted 7 days ago

Montana State University rating

7.1

Company rating: 7.1 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

358th of 544 rated colleges and universities

Job description

Position Details
Position Information
Announcement Number
STAFF - VA - 26465
For questions regarding this position, please contact:
Dr. Ann Marie Reinhold
(406) 994-5093
reinhold@montana.edu
Classification Title
Research Scientist and/or Research Engineers
Working Title
Research Data Engineer
Brief Position Overview
Join a fast-moving, high-impact research environment where data scientists work with real-world datasets, cutting-edge infrastructure, and engineering teams to push the boundaries of data science, analytics, and cyber intelligence.
If you thrive on solving hard problems, publishing meaningful work, and creating technologies that matter beyond the lab, this is an opportunity to lead innovation rather than simply follow it.
Position Number
4C0184
Department
Gianforte School of Computing
Division
College of Engineering
Appointment Type
Professional
Contract Term
Fiscal Year
Semester
If other, specify From date
If other, specify End date
FLSA
Exempt
Union Affiliation
Exempt from Collective Bargaining
FTE
1.0
Benefits Eligible
Eligible
Salary
$90,000 annually, commensurate with experience, education, and qualifications
Contract Type
LOA
If other, please specify
Recruitment Type
Open
Position Details
General Statement
The Software Engineering and Cybersecurity Lab (SECL), is a dynamic environment where you will tackle mission-critical problems at the intersection of data science, cybersecurity, and empirical software engineering-building state-of-the-art solutions that directly influence national security.
Duties and Responsibilities
• Develop and optimize big data pipelines for storage, processing, and analysis of large-scale, high-frequency datasets.
• Design and implement data models, including relational databases, for efficient data storage, retrieval, and integration.
• Conduct time series analysis, including interpolation and aggregation of heterogeneous data streams.
• Apply software engineering principles, including object-oriented programming, networking concepts, and best practices in software design.
• Utilize Linux command-line tools to manage data workflows and processing tasks.
• Implement source code management and build tools, such as GitHub and MAVEN, to maintain and deploy software solutions.
• Communicate technical results and insights effectively to multidisciplinary teams, including both technical and non-technical stakeholders.
Required Qualifications - Experience, Education, Knowledge & Skills
  1. Master's Degree in a STEM related field.
  2. Demonstrable ability to write code, analyze data, and create graphical reports in air gapped systems without any use of AI.
  3. audiences - from the lay person to specialized audiences.
  4. Proven track record of working successfully with minimal oversight for long periods of time without internet access.
  5. Proven track record of delivering high-quality work, on-time.

Preferred Qualifications - Experience, Education, Knowledge & Skills
  1. PhD in a STEM related field, strong statistics, analytical problem solving skills and software development.
  2. Demonstrable mastery of data-product pipelines for integrating complex data streams.
  3. Demonstrable mastery of the R programming language and applications for statistics, simulation, and data science workflows.
  4. Demonstrable mastery of version control for complex workflows using Git.
  5. 5-10 years of experience creating, maintaining, and updating complex relational databases. Mastery of SQL.
  6. 5-10 years experiences preparing graphical, written, and oral presentations suitable for diverse

The Successful Candidate Will
  • Executive presence and the ability to confidently communicate with senior leaders, government officials, and external stakeholders
  • Strong teamwork mindset with a "mission-first" attitude and willingness to support others
  • Humility and low ego in highly collaborative, interdisciplinary environments
  • Transparency, integrity, and accountability in research, communication, and decision-making
  • Excellent written and verbal communication skills for technical and non-technical audiences
  • Adaptability and comfort operating in fast-paced, high-impact research settings
  • Professionalism and discretion when working on sensitive or restricted projects
  • Intellectual curiosity and a continuous-learning mindset
  • Self-motivation and initiative with minimal supervision
  • Reliability and follow-through on commitments and deadlines

Position Special Requirements/Additional Information
This individual must be able to obtain and maintain a Top Secret DOD Security Clearance.
Successful candidate must be able to comply with the federally mandated requirements of U.S. export control laws, which may require proof that candidate is a U.S. person. Per 22 CFR §120.15, U.S. person means a person who is a lawful permanent resident as defined by 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3).
This position is contingent upon continued grant funding
This job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts Montana State University's rights to assign or reassign duties and responsibilities to this job at any time.
Physical Demands
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and/or ability required.
This position has supervisory duties?
No
Posting Detail Information
Number of Vacancies
1
Desired Start Date
Upon completion of a successful search.
Position End Date (if temporary)
Open Date
Close Date
Applications will be:
Screening of applications will begin on July 14th 2026 ; however, applications will continue to be accepted until an adequate applicant pool has been established.
Special Instructions
Successful candidate must be able to comply with the federally mandated requirements of U.S. export control laws, which may require proof that candidate is a U.S. person. Per 22 CFR §120.15, U.S. person means a person who is a lawful permanent resident as defined by 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3).
EEO Statement
Montana State University is an equal opportunity employer. MSU does not discriminate against any applicant on the basis of race, color, religion, creed, political ideas, sex, sexual orientation, gender identity or expression, age, marital status, national origin, physical or mental disability, or any other protected class status in violation of any applicable law.
In compliance with the Montana Veteran's Employment Preference Act, MSU provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran's preference, please complete the veteran's preference information located in the Demographics section of your profile.

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