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About the role

  • Regulatory Specialist advancing AI/ML medical-device strategies and submissions for Clarius’s affordable cloud-connected ultrasound technology. Documenting models, datasets, validation, and FDA, Health Canada, and EU MDR requirements.

Responsibilities

  • Support Data Science and Regulatory Affairs teams in defining and executing regulatory strategies for AI/ML-enabled medical devices
  • Translate complex machine learning concepts into clear, precise regulatory documentation
  • Create design history file (DHF) documentation
  • Prepare regulatory submissions and related data documentation
  • Maintain detailed documentation of ML algorithms, datasets, and performance metrics for regulatory review
  • Create technical documentation covering AI/ML model training methodologies and data preparation procedures
  • Create model verification and validation documentation
  • Collaborate with Regulatory Affairs on technical sections of FDA 510(k) and equivalent Health Canada and EU MDR submissions
  • Collaborate on regulatory technical documentation and DHF requirements
  • Maintain version control and document change management
  • Work with ML engineers, R&D, Data Science, and Regulatory Affairs teams

Requirements

  • Post-secondary education in a scientific or technical field or equivalent experience
  • 5+ years of experience in a regulated medical device environment or regulated industry
  • Hands-on ownership of pre-market submissions, including FDA 510(k) or equivalent, for AI/ML-enabled devices
  • Hands-on experience designing or running prospective clinical studies for AI/ML devices, including IDE, ITA and IRB pathways
  • Working knowledge of FDA guidance for AI/ML and SaMD, including CAD vs CDS classification
  • Working knowledge of ISO 13485, IEC 62304, ISO 14971, IEC 62366, MDSAP, EU MDR, FDA and Health Canada requirements for AI/ML-enabled devices
  • Understanding of quality management systems and the software development lifecycle
  • Knowledge of ML concepts, including training, performance metrics, and bias
  • Interest in ML concepts and processes related to AI/ML-enabled medical device design and development
  • Experience working with data science and engineering teams
  • Ability to lead regulatory strategy independently with minimal guidance
  • Strategic, collaborative, analytical, focused, and self-motivated
  • Exceptional attention to detail and ability to work within strict documentation standards
  • Strong time-management skills and ability to prioritize tasks in a fast-paced environment
  • Strong verbal and written communication skills
  • Ability to work effectively with cross-functional teams including R&D, Data Science, and Regulatory Affairs

Benefits

  • Great Place to Work-certified employer
  • Modern office with sit/stand desks
  • Health and wellness facilities
  • Stocked kitchen
  • Outdoor amenities
  • On-site daycare
  • Enclosed parking
  • Free on-site gym
  • Close proximity to a SkyTrain station
  • Equal opportunity employer
  • Interview accommodations available upon request

Job type

Contract

Experience level

Lead

Salary

CA$85,000 - CA$105,000 per year

Degree requirement

No Education Requirement

Location requirements

RemoteCanada

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