GE HealthCare

AI Regulatory Program Manager

GE HealthCare

full-time

Posted on:

Location Type: Hybrid

Location: WaukeshaMinnesotaWisconsinUnited States

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About the role

  • Coordinate with clinical experts, data annotators, and arbitrators to ensure validation studies meet regulatory standards.
  • Track regulatory landscape changes and update processes accordingly.
  • Support the creation and standardization of regulatory processes and documentation for future teams.
  • Define validation dataset requirements (size, demographics, sites) in compliance with regulatory guidance.
  • Acquire, clean, and document datasets for regulatory validation, ensuring data integrity and traceability.
  • Design and oversee regulatory test plans and procedures, including dry runs and iterative improvements.
  • Design and develop reader study experiments in collaboration with GEHC regulatory and research teams.
  • Organize and index validation data and metadata for efficient analysis and reporting.
  • Perform advanced statistical analyses (e.g., power calculations, Wilcoxon Ranked Sign Test, Bland-Altman etc.) to justify dataset size and model performance.
  • Generate and interpret statistics from reader studies and other validation experiments.
  • Prepare statistical arguments and documentation for regulatory submissions, addressing agency feedback and deficiency letters.
  • Write and review regulatory reports (e.g., FDA 510k, NMPA) with a focus on statistical rigor and clarity.
  • Collaborate with engineering and regulatory affairs to ensure alignment with the latest regulatory requirements and best practices.
  • Respond to regulatory agency feedback, providing statistical and technical justifications as needed.

Requirements

  • Advanced degree (MS/PhD) in Statistics, Biomedical Engineering, or related field.
  • Experience in regulatory submissions for medical devices or software (FDA, NMPA, or similar).
  • Strong proficiency in statistical analysis, experimental design, and data management.
  • Familiarity with AI/ML model validation and performance metrics.
  • Excellent written and verbal communication skills, especially in technical and regulatory documentation.
  • Ability to manage multiple projects and context-switch efficiently in a fast-paced environment.
  • Experience working with cross-functional teams (engineering, clinical, regulatory).
Benefits
  • Health insurance
  • Professional development
  • Competitive compensation
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
statistical analysisexperimental designdata managementregulatory submissionsAI/ML model validationpower calculationsWilcoxon Ranked Sign TestBland-Altmandata cleaningvalidation dataset requirements
Soft Skills
written communicationverbal communicationproject managementcross-functional collaborationcontext-switchingorganizational skillsattention to detailproblem-solvingadaptabilitytechnical justification
Certifications
MS in StatisticsPhD in StatisticsBiomedical Engineering