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Intern R Programmer Jobs in Toronto, ON (NOW HIRING)

Léger

Research Intern

Toronto, ON · On-site

As a Research Intern, you will gain hands-on experience in both quantitative and qualitative ... Experience with statistical software (e.g., SPSS, SAS) or programming languages (e.g., R, Python ...

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Intern R Programmer information

What does an Intern R Programmer do?

An Intern R Programmer assists in developing and maintaining data analysis scripts using the R programming language. They often work with teams to clean, organize, and analyze datasets, generate reports, and support research or business projects. As an intern, they may also learn best practices in coding, documentation, and testing while gaining practical experience in statistical analysis and data visualization. Their work helps organizations make data-driven decisions and gain insights from large or complex datasets.

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

To thrive as an Intern R Programmer, you need a solid understanding of statistical analysis, data manipulation, and proficiency in R programming, often supported by coursework in statistics, computer science, or related fields. Experience with data visualization libraries (such as ggplot2), familiarity with version control systems like Git, and knowledge of data wrangling packages are typically expected. Strong problem-solving skills, attention to detail, and effective communication help you work collaboratively and present complex results clearly. These skills are crucial for producing accurate analyses, supporting team projects, and contributing meaningful insights from data.

What types of projects and tasks can an Intern R Programmer expect to work on during their internship?

As an Intern R Programmer, you'll typically assist with data cleaning, exploratory data analysis, and the development of scripts or reports using R. Interns often collaborate closely with data scientists, analysts, or research teams to support larger projects such as statistical modeling, data visualization, and automation of routine processes. You may also help maintain documentation and contribute to code reviews, gaining exposure to best practices in programming and data analysis. These experiences offer valuable opportunities to learn industry-standard workflows and build foundational skills for a future career in data science or analytics.

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

AspectIntern R ProgrammerData Analyst
Required CredentialsBasic programming skills, coursework in RBachelor's in statistics, data science, or related field
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time, corporate or research settings
Employer & Industry UsageTech companies, research institutions, startupsBusiness, finance, healthcare, marketing
Common Search & Comparison IntentEntry-level R programming roles, internshipsData analysis tasks, career progression

The Intern R Programmer typically focuses on learning and assisting with R programming tasks in an internship setting, requiring basic coding skills. In contrast, a Data Analyst often has a broader role involving data interpretation, reporting, and decision-making, usually requiring a degree in a related field. Both roles are common in tech and research industries, but they differ in experience level and scope of responsibilities.

Are intern R programmers in demand?

Intern R programmers are in demand in data analysis, research, and analytics roles, especially in industries like healthcare, finance, and technology. Proficiency in R, along with skills in data visualization and statistical modeling, increases employability for entry-level positions and internships.
Intern R Programmer jobs near you
Infographic showing various Intern R Programmer job openings in Toronto, ON as of July 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 43% In-person, 43% Hybrid, and 14% Remote job distribution.

Research Intern

Léger

Toronto, ON • On-site

Internship

Posted 19 days ago

Job description

Company Description

We are one of North America’s fastest-growing market research companies, known for our forward-thinking experts and innovative approaches powered by artificial intelligence (AI) technologies. We boast the most accurate panel (LEO) and insights. Stay connected to the evolving perspectives and trends shaping your industry.

Job Description

As a Research Intern, you will gain hands-on experience in both quantitative and qualitative research methodologies while developing professional skills in a dynamic and supportive environment. You will work closely with experienced professionals, receive mentorship from industry experts, and gain insight into how research informs business decisions. 

The ideal candidate has a foundational knowledge of market research and is currently enrolled in a relevant program or is a recent graduate, eager to apply their knowledge in a real-world setting while gaining practical experience in research and data analysis. 

Responsibilities

  • Assist in the collection, analysis, and interpretation of data. 
  • Support ongoing market research reports  
  • Enter data and prepare reports and presentations summarizing research findings. 
  • Collaborate with senior researchers and project managers on various analytical tasks. 
  • Participate in team meetings and contribute to project brainstorming sessions. 
Qualifications
  • Currently enrolled in or recently graduated from a bachelor’s or master’s program in Economics, Statistics, Business Administration, or a related field in Health Sciences. 
  • Proficient in Microsoft Office Suite, especially Excel. 
  • Experience with statistical software (e.g., SPSS, SAS) or programming languages (e.g., R, Python) is an asset 

Skills 

  • Analytical Skills: Ability to work with data, identify basic trends, and support the interpretation of research findings. 
  • Communication and Writing: Strong written and verbal communication skills to clearly present ideas, contribute to reports, and collaborate with team members. 
  • Organization and Time Management: Ability to manage tasks, stay organized, and meet deadlines in a fast-paced environment. 
  • Teamwork and Collaboration: Comfortable working with others, participating in discussions, and supporting team projects. 
  • Attention to Detail: Careful approach to data entry, analysis, and reporting to ensure accuracy and quality. 
  • Problem-Solving: Willingness to learn and find solutions when challenges arise during research tasks. 
  • AI & Digital Tools: Familiarity with AI tools (e.g., ChatGPT) and interest in using technology to support research, data analysis, and productivity. 

Additional Information

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