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SeniorRemoteCanada

Regulatory Specialist

J
jobgether
Зарплата
$7,100–$8,800
Уровень
Senior
Формат
Remote
О роли

Описание вакансии

About the company

Our partner is looking for a Regulatory Specialist – AI/ML Projects based in Canada. This is a specialized regulatory role supporting the development and commercialization of AI/ML-enabled medical devices.

Responsibilities
  • Collaborate with machine learning engineers and Regulatory Affairs teams to define and execute regulatory strategies for AI/ML-enabled medical device products.
  • Translate complex machine learning concepts, methodologies, and development processes into clear and precise regulatory documentation.
  • Maintain comprehensive documentation covering ML algorithms, datasets, model performance metrics, training methodologies, and data preparation procedures.
  • Develop and maintain technical documentation related to AI/ML model verification and validation.
  • Support the preparation of technical sections for FDA 510(k) submissions and equivalent regulatory submissions in Canada and Europe.
  • Collaborate with Regulatory Affairs teams on technical regulatory documentation and Design History File (DHF) requirements.
  • Support documentation demonstrating compliance with applicable medical device, software, quality, risk management, and usability requirements.
  • Maintain robust version control and document change management processes throughout the product lifecycle.
  • Contribute to the development and execution of regulatory strategies for AI/ML products as technologies and regulatory expectations evolve.
  • Work cross-functionally with R&D, Data Science, Regulatory Affairs, and other stakeholders to ensure regulatory requirements are incorporated effectively into product development.
  • Support regulatory documentation and activities related to clinical studies and associated processes when required.
Requirements
  • Post-secondary education in a scientific or technical discipline, or equivalent relevant experience.
  • At least 5 years of experience working in a regulated industry, preferably medical technology, with direct experience supporting AI/ML-enabled products and regulatory submissions.
  • Strong interest in and practical understanding of machine learning concepts and processes involved in the design and development of AI/ML-enabled medical devices.
  • Working knowledge of ISO 13485, IEC 62304, ISO 14971, IEC 62366, MDSAP, EU MDR, FDA, and Health Canada requirements applicable to medical devices, AI/ML technologies, and Software as a Medical Device (SaMD).
  • Understanding of quality management systems and software development lifecycle processes.
  • Experience preparing or supporting regulatory and technical documentation for complex software or medical device products.
  • Knowledge of clinical study requirements and related regulatory processes, including IDEs, ITAs, and IRB requirements.
  • Exceptional attention to detail and the ability to work within rigorous documentation and quality standards.
  • Strong analytical, strategic, and problem-solving abilities, with a structured and focused approach to complex regulatory challenges.
  • Excellent written and verbal communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.
  • Strong collaboration skills and experience working effectively across R&D, Data Science, Regulatory Affairs, and other cross-functional teams.
  • Excellent time-management and prioritization skills, with the ability to manage multiple deadlines in a fast-paced environment.
  • Self-motivated, adaptable, and comfortable taking ownership of projects and deliverables.
Conditions
  • Salary range of $85,000–$105,000 CAD.
  • Two-year fixed-term contract.
  • Remote opportunity open to candidates across Canada.
  • Opportunity to work on high-impact AI/ML-enabled medical imaging technology.
  • Chance to contribute to solutions designed to make medical imaging more accessible worldwide.
  • Collaborative, innovative, and highly cross-functional working environment.
  • Opportunities to work closely with specialists across regulatory affairs, data science, machine learning, and R&D.
  • Modern workplace facilities, including sit/stand desks, health and wellness amenities, stocked kitchen, outdoor spaces, and on-site daycare.
  • Free on-site gym and enclosed parking.
  • Convenient access to public transportation.
  • Inclusive workplace committed to equal opportunity and accessibility.
Стек и навыки

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