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Internship R Programming Language Jobs in Pennsylvania

Strong SAS and SAS Macro language skills. R programming skills in clinical trials Strong knowledge of industry standards. Ability to work on data integrations (ISS and ISE). Strong oral and written ...

Knowledge of R (programming language) for customized analysis and reporting as well as extensive experience with at least one standard visualization package, e.g., Google Data Studio, Tableau, Qlik ...

Knowledge of R (programming language) for customized analysis and reporting as well as extensive experience with at least one standard visualization package, e.g., Google Data Studio, Tableau, Qlik ...

2026 Internship Program

Pittsburgh, PA ยท On-site

$16.25 - $21/hr

Engineering: Includes candidates for a degree in any engineering discipline, with preference for ... R). The Internship Program runs for 10 weeks from June 8 through August 14, 2026, and involves ...

Opportunities, including full-time summer internships and part-time work throughout the school year ... Programming experience, ideally including R, C++ and/or Python. * Experience with regression ...

R.H. Sheppard Co., Inc. Job Title: Embedded Software Engineer Job Location: 101 Philadelphia Street ... Experience developing embedded software using C programming language. * Experience with AUTOSAR ...

R.H. Sheppard Co., Inc. Job Title: Embedded Software Engineer Job Location: 101 Philadelphia Street ... Experience developing embedded software using C programming language. * Experience with AUTOSAR ...

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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 the most commonly searched types of R Programming Language jobs in Pennsylvania? The most popular types of R Programming Language jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Internship R Programming Language jobs? Cities in Pennsylvania with the most Internship R Programming Language job openings:
Infographic showing various Internship R Programming Language job openings in Pennsylvania as of July 2026, with employment types broken down into 7% Internship, 65% Full Time, 23% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Sr R & SAS Programmer

Atorus Research

Chesterbrook, PA โ€ข On-site

Contractor

Re-posted 20 days ago


Job description

Sr SAS & R Programmer
onsite in the Chesterbrook, PA area 3 days/week
SUMMARY
The contract Senior Statistical Programmer is a member of the Biometrics Department within the Research and Development (R&D) organization who supports Statistical programming work in accordance with corporate standard operating procedures (SOPs), GCP, 21 CFR and ICH guidance.
RESPONSIBILITIES
Program and validate derived datasets, tables, figures, listings. Process data from the external sources.
Perform ad hoc exploratory analyses for publications and programming support other functions of Research and Development or other organizations.
Oversee programing work/deliverables from CROs.
Contribute to the design/implementation/review of Case Report Form, Data Transfer Specification, Statistical Analysis Plan, SDTM/ADaM Specification documents, Define packages.
Program and validate CDISC compliant deliveries for the electronic submissions.
Support in the creation of supporting documentation for submissions.
Ensure programming deliverables are on time and of high quality.
Help managing internal contractors and external vendors.
Participate in development of departmental working instructions and guidelines.
Help in creation of enhanced functions/macros and utilities.
REQUIREMENTS
Bachelor or Master degree in Computer Science, Mathematics, Engineering, Medical or related discipline.
BS with more than 5 or MS with 3 years of experience in statistical programming (SAS, R) in the pharmaceutical industry.
Working knowledge of SAS and its various components.
Knowledge of R programming in clinical trials
Familiarity of the drug development process.
Knowledge of CDISC standards and electronic submission requirements.
Strong SAS and SAS Macro language skills.
R programming skills in clinical trials
Strong knowledge of industry standards.
Ability to work on data integrations (ISS and ISE).
Strong oral and written communication skills. Ability to communicate details of the analysis to other team members with less technical experience.
Ability to manage the timeline well and work in multi-project environment.