Embark on a remote co-op as a Data Engineer with CMPA, focusing on transforming medical-legal data into AI-ready datasets essential for high-quality AI development.

This co-op program invites students from relevant fields to directly contribute to the AI & Advanced Analytics team. Your work will shape the usage of substantial medical-legal data through normalization, governance, and documentation processes. This role emphasizes hands-on experience in Python development and alignment with privacy and security regulations for healthcare data.

Key Responsibilities:
• Clean and structure raw medical-legal text for AI processing
• Define and apply criteria for dataset AI-readiness
• Develop Python scripts for data handling and validation




• Maintain evaluation/test sets for performance benchmarks
• Document data preparation standards and quality issues

Requirements:
• Enrolled in Computer Science or related co-op program
• Proficient in Python; experience with data libraries is preferred
• Familiarity with NLP concepts and data processing methods
• Robust attention to detail in handling sensitive data
• Ability to collaborate remotely with diverse teams

This role provides an excellent foundation in data engineering while contributing to regulated healthcare environments.
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📌 Co-op Data Engineer at CMPA (Quebec City)
🏢 Jobvite
📍 Quebec City