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Intern Manager Statistical Programming Jobs in Toronto, ON

Experience with statistical software (e.g., SPSS, SAS) or programming languages (e.g., R, Python ... Ability to manage tasks, stay organized, and meet deadlines in a fast-paced environment. * Teamwork ...

You collaborate cross-functionally with regulatory, clinical, biostatistics, data management, and ... You have typically 1-3 years of experience in statistical programming, with an interest in or ...

... for managing data collections designing automated dashboards and conducting deepdive analyses to ... Statistical Programming Solid working knowledge of Python specifically Pandas NumPy or R for data ...

... for managing data collections designing automated dashboards and conducting deepdive analyses to ... Statistical Programming Solid working knowledge of Python specifically Pandas NumPy or R for data ...

Intern, Business Intelligence

Toronto, ON · On-site

CA$17.50 - CA$28/hr

... Statistics, Mathematics, Engineering, or a related field. * Strong analytical and problem-solving ... Ability to manage multiple priorities and work independently when required. Why Choose WSP? We ...

ALM Scripting & Reporting Intern

Toronto, ON · Hybrid

CA$23 - CA$30/hr

  • PTO

Manage and configure Row-Level Security (RLS) and evaluate Object-Level Security (OLS) for ... engineering operations. * Process & Quality Assurance: Documenting the data processing steps for ...

Reverse-engineer malware samples to identify malware communication mechanisms and analyze malware ... Communicate research results to customers, team members, and management. * Collaborate with team ...

Electrical Engineering Intern/Co-Op

Toronto, ON · On-site

$30/hr

  • Medical

  • Life

  • Retirement

  • PTO

As an intern you will assist engineers and engineering staff within a variety of project support ... Exceptional organizational and time management skills, with a proven ability to efficiently ...

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Intern Manager Statistical Programming information

What is the difference between Intern Manager Statistical Programming vs Data Analyst?

AspectIntern Manager Statistical ProgrammingData Analyst
Required CredentialsTypically pursuing or holding a degree in statistics, biostatistics, or related fieldOften holds a degree in statistics, data science, or related discipline
Work EnvironmentPharmaceutical or biotech industry, working on clinical trial dataVarious industries including healthcare, finance, marketing, analyzing data sets
Employer & Industry UsageUsed in clinical research companies, pharma firms, biotech organizationsWidely used across multiple sectors including healthcare, finance, tech

The Intern Manager Statistical Programming role focuses on supervising and managing statistical programming tasks within clinical research, often involving team coordination and project oversight. In contrast, Data Analysts primarily analyze data sets to generate insights across various industries. While both roles require strong statistical skills and familiarity with programming tools, the managerial aspect and industry focus distinguish the Intern Manager Statistical Programming position from a Data Analyst.

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Infographic showing various Intern Manager Statistical Programming job openings in Toronto, ON as of August 2026, with employment types broken down into 7% Internship, 61% Full Time, and 32% Part Time. Highlights an 93% In-person, and 7% Remote job distribution.

Research Intern

Léger

Toronto, ON

Internship

Posted 8 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

For any questions, please refer to our Recruitment Policy.