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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.
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.
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.
