Research Intern

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. 

Responsabilities

• 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. 

• 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. 
• Strong analytical and problem-solving skills. 
• 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 
• Excellent communication and organizational skills. 
• Ability to work independently and as part of a team. 

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. 

​​​​​​

For any questions, please refer to our Recruitment Policy.