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. #J-18808-Ljbffr

📌 Co-Op Data Engineer At Cmpa (Toronto)
🏢 Jobvite
📍 Toronto