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R Programming Intern Jobs in Pennsylvania (NOW HIRING)

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R Programming Intern information

What does an R Programming Intern do?

An R Programming Intern typically assists in analyzing data, writing scripts, and developing reports using the R programming language. They support data science or analytics teams by cleaning data, running statistical analyses, and visualizing results. Interns may also help automate routine tasks and contribute to ongoing research or business projects, gaining valuable experience in coding and data interpretation. This role is ideal for students or recent graduates interested in data science, statistics, or software development.

What are the key skills and qualifications needed to thrive as an R Programming Intern?

To thrive as an R Programming Intern, you need a solid understanding of R programming, data analysis, and statistical concepts, often supported by coursework in statistics, data science, or a related field. Familiarity with tools such as RStudio, version control systems like Git, and packages like dplyr and ggplot2 is typically required. Strong problem-solving skills, attention to detail, and effective communication set standout interns apart. These competencies are crucial for accurately analyzing data, collaborating with teams, and contributing meaningful insights to projects.

What types of projects and tasks can I expect to work on as an R Programming Intern?

As an R Programming Intern, you'll typically assist with data cleaning, analysis, and visualization tasks using R. You may work on real datasets, develop scripts to automate data workflows, and contribute to reporting or dashboard creation. Collaboration is common—you'll likely partner with data scientists, analysts, or research teams, gaining practical experience in both technical coding and teamwork. This hands-on exposure helps you build a strong foundation in both R programming and the broader field of data analysis.

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

AspectR Programming InternData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge, some R or Python
Work EnvironmentData-focused projects, research teams, tech companiesBusiness insights, reporting, cross-department collaboration
Common UsageData analysis, statistical modeling, researchData interpretation, reporting, decision support

While both roles involve working with data, an R Programming Intern primarily focuses on statistical analysis and data visualization using R, often in research or technical environments. A Data Analyst Intern may use R but also relies heavily on tools like Excel and SQL for broader data interpretation and reporting. The R Programming Intern role is more specialized in programming and statistical modeling, whereas the Data Analyst Intern role emphasizes data-driven decision-making across various business functions.

What are the most commonly searched types of R Programming jobs in Pennsylvania?

The most popular types of R Programming jobs in Pennsylvania are:

What are popular job titles related to R Programming Intern jobs in Pennsylvania?

For R Programming Intern jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching R Programming Intern jobs in Pennsylvania look for?

The top searched job categories for R Programming Intern jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for R Programming Intern jobs?

Cities in Pennsylvania with the most R Programming Intern job openings:

R Programming Intern jobs near you
Infographic showing various R Programming Intern job openings in Pennsylvania as of August 2026, with employment types broken down into 67% Part Time, and 33% Temporary. Highlights an 67% In-person, and 33% Remote job distribution.

Master's Level Internship: Program Evaluation

Allegheny Intermediate Unit

Pittsburgh, PA • On-site

$20/hr

Part-time

Posted 28 days ago

Job description


Duties and Responsibilities:
1. Work collaboratively with colleagues to conduct all phases of data collection including development of questionnaires, instruments or protocols; item development and testing; sample design; field procedures; data quality; and other administrative tasks associated with carrying out a successful project.
2. Analyze and interpret qualitative and quantitative data using a variety of methods (e.g., surveys, interviews, focus groups, administrative data, observations, document reviews).
3. Assist with preparation of descriptive and analytical reports and presentations of analysis results, including development of tables, charts, dashboards, infographics, and other data visualizations to communicate findings.
4. Coordinate with colleagues to understand client needs and ensure alignment between instruments and client questions.
5. Manage client relationships in order to ensure customer satisfaction and work sustainability.
6. Collaborate with clients and project partners to design and implement efficient processes to accomplish client and project goals.
7. Assist with data quality checks and data entry as needed.
8. Evaluate reliability of source information based on needs of various projects.
9. Develop procedures and protocols for implementing formative and summative evaluations.
10. Perform other duties as requested.
Qualifications:
1. Must be currently enrolled in master's level program in public health, social sciences, statistics, public policy, or a related field.
2. Excellent interpersonal and customer service skills and ease with a variety of people.
3. Experience with Microsoft Excel required; familiarity with SPSS, R, Stata, Power BI, Tableau, GIS, NVivo, Qualtrics, SurveyMonkey, or other statistical or qualitative analysis software is a plus.
4. Ability to work independently, to take initiative and solve problems, and to work collaboratively and on teams.
5. Ability to plan workflow, organize and prioritize, handle multiple tasks simultaneously, and meet deadlines required.
6. Excellent written and oral communication skills, including an ability to translate analysis findings for a variety of audiences.
7. Experience managing, cleaning and analyzing datasets is preferred.
8. Coursework in research methods, statistics, program evaluation, or data analysis preferred.
9. Ability to build trust and positive working relationships with multiple internal and external stakeholder groups; able to promote high expectations and high quality for all constituents required.
10. Organized, detail oriented and enjoys learning new skills.
11. Skilled in the use of Microsoft Office Suite and willingness to experiment and work with new technologies.
12. Ability to comply with the AIU Conduct Policy.
13. Ability to work in a hybrid work environment with flexibility for remote work and occasional in-person meetings, client visits, or data collection activities.
Schedule: Part-time
Pay: $20 per hour

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