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GE Healthcare

Imaging, monitoring, and healthcare IT solutions

AI/ML Regulatory Engineer

Regulatory & Quality (Life Sciences)Confirmed live in the last 24 hours
Full-timeSeongnam-si, Gyeonggi-do, South KoreaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Engineering, Computer Science, Biomedical Engineering, or a related field is required.
  • Experience working in regulated medical-device environments is required; experience involving AI-driven clinical features is preferred.
  • A solid understanding of medical-device regulatory frameworks, particularly FDA and EU MDR, is required.
  • Experience with medical-device risk-management methodologies and safety processes is required.
  • Strong analytical, documentation, and communication skills are required.
  • The ability to work independently and collaboratively in a multidisciplinary environment is required.

Responsibilities

  • Lead AI-focused risk-management activities in accordance with ISO 14971, addressing AI-specific hazards such as bias, robustness, generalization risk, and clinical misuse.
  • Perform and maintain AI-specific risk analyses, including AI FMEA, algorithm hazard analysis, and clinical-performance risk analysis.
  • Ensure traceability between clinical requirements, AI behavior, risk controls, and verification and validation evidence.
  • Prepare and maintain AI-related regulatory documentation, including AI descriptions and intended-use statements, training and validation dataset descriptions, performance evaluation and clinical evidence summaries, and algorithm change-management and lifecycle documentation.
  • Support creation of FDA-ready AI documentation, including transparency, explainability, and human-factors considerations.
  • Define regulatory-compliant processes for AI updates, retraining, and post-market changes in alignment with FDA expectations.
  • Support implementation of Predetermined Change Control Plans or equivalent AI lifecycle strategies.
  • Ensure alignment between AI development practices and regulatory expectations for locked versus adaptive algorithms.
  • Collaborate with AI engineers, data scientists, clinical and medical affairs teams, quality, systems, and verification and validation engineers, product management, and regulatory affairs.
  • Embed regulatory and safety requirements early into AI design, data strategy, and clinical validation plans.
  • Monitor evolving AI regulations, FDA guidance, standards, and industry best practices.
  • Communicate regulatory changes and their impact on AI roadmaps and product strategy.
  • Support internal audits, design reviews, and external regulatory inspections related to AI and clinical safety.
  • Provide training and guidance on AI regulatory and safety topics to engineering and product teams.

Desired Qualifications

  • Experience with AI-enabled medical devices, software as a medical device, or clinical decision support systems.
  • Familiarity with FDA guidance on AI in medical devices, Good AI Practice, and AI lifecycle governance.
  • Experience supporting FDA submissions involving software or AI components.
  • Knowledge of AI-related topics such as dataset governance, algorithm performance metrics, bias mitigation, and explainability.
  • Certification or formal training in regulatory affairs, quality, or safety, such as RAC, TÜV, or ASQ.
  • Experience working with global regulatory regions, including the United States, Europe, and Asia.

About the Company

GE Healthcare

Imaging, monitoring, and healthcare IT solutions

GE Healthcare Systems provides medical technologies and digital infrastructure to improve diagnosis, treatment, and monitoring of patients. Its products include imaging systems (radiology and cardiology), mobile diagnostic tools, patient monitoring devices, and healthcare IT software that combine hardware, software, and services sold to hospitals, clinics, and research institutions, with revenue from device sales, software licenses, and long-term service contracts. The company differentiates itself by offering a wide, integrated ecosystem of hardware, software, and services, plus AI-driven analytics and a global service network supported by substantial R&D investment. Its goal is to improve patient outcomes and healthcare efficiency by delivering reliable imaging, diagnostics, monitoring, and IT solutions for clinicians.

Company size
1-10
Company stage
IPO
Headquarters
Chicago, IL
Founded
1892

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