The Operations Intern will provide valuable support to the Operations team in various areas, including data management, process improvement and logistics. This role offers an excellent opportunity to gain practical experience in a dynamic operational environment while contributing to the efficient and secure handling of biological samples.

• Business Intelligence & Data Visualization

  • Develop and maintain dashboards on Metabase to monitor operational and strategic KPIs

  • Structure the BI environment to ensure consistent navigation and intuitive data presentation (filters, naming conventions, dashboard logic)

  • Contribute to the analysis of operational performance through velocity indicators, activity trends, and flow monitoring

• Strategic Analysis & Board Preparation

  • Support the preparation of board-level presentations by generating charts, trends, and forecasts related to volumes, stock, and performance

  • Deliver data-driven insights and structured materials to inform decision-making

• Process Structuring & Documentation

  • Take part in process improvement initiatives and help formalize scalable workflows

• Operational Support & Project Coordination

  • Follow up on logistics-related tasks (pick-up requests, deliveries, coordination with couriers)

  • Consolidate project timelines, automate reporting (Excel, Google Sheets), and support project tracking with a structured, PM-oriented approach

• Master’s-level student enrolled in a general engineering cursus with a focus on operations and/or data management, and a strong interest in pursuing a career in the life sciences industry or a related field.

• Proficient in data visualization and reporting tools: Metabase, Excel/Google Sheets (advanced level)

• Solid command of Python for building custom analyses, generating trend charts, and supporting quantitative modeling

• Organized and rigorous, with a clear ability to document processes and navigate a fast-paced environment

• Strong communication skills, both written and verbal, in French and English

• Engineering background with a strong interest in data analysis, process design, and project management

• Strong analytical skills, critical thinking, and autonomy