Student Research Assistant @ McGill University
placeMontreal, Quebec, Canada
businessOn Site
schedulePart Time
Posted 19 days ago
Your Application Journey
Interview
Email Hiring Manager
****** @mcgill.ca
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Job Details
Position Overview
The Student Research Assistant position at McGill University in the Department of Biology supports literature searches on conservation, ecology and evolution behaviour, data processing, and preparation of figures, presentations, and manuscripts.
Key Responsibilities
- Conduct literature searches on conservation, ecology, and evolution.
- Assist in data analysis, interpretation, and processing.
- Prepare figures and PowerPoint presentations.
- Help prepare and format manuscripts.
Qualifications and Experience
- Good communication skills in both English and French.
- Familiarity with the R programming language.
- Experience in computer science, mathematics, ecology, or environmental sciences.
- Undergraduate experience in relevant fields.
Details
- Location: Montreal, Quebec, performed in Quebec.
- Hourly Salary: $21.00 for 15 hours per week (Part time).
- Position Duration: 2025-08-07 to 2025-12-19.
- Application Deadline: 2025-08-19.
Additional Information
This position is governed by the Association of McGill University Research Employees (AMURE) collective agreement. McGill University is committed to equity and diversity. Applicants with disabilities may request accommodations during the application process.
Key skills/competency
Student Research Assistant: Literature search, data analysis, R programming, communication, ecology, conservation, environmental sciences, manuscript preparation, presentation, data processing.
How to Get Hired at McGill University
🎯 Tips for Getting Hired
- Customize your resume: Align experience with research and data analysis.
- Highlight technical skills: Emphasize R programming and data processing.
- Research McGill University: Understand its mission and values.
- Prepare for interviews: Practice discussing academic projects and teamwork.
📝 Interview Preparation Advice
Technical Preparation
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Review R programming basics.
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Practice data processing techniques.
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Familiarize with statistical analysis.
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Study research manuscript protocols.
Behavioral Questions
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Explain teamwork experience under pressure.
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Describe time management in academic projects.
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Discuss problem-solving in data analysis.
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Describe collaboration with peers.
Frequently Asked Questions
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