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GE Healthcare

Imaging, monitoring, and healthcare IT solutions

Clinical AI Lead

Biology & BiotechConfirmed live in the last 24 hours
Full-timeHaifa, IsraelNo salary listedIn-person

About the Job

Requirements

  • Professional or academic background in sonography, medical imaging, biomedical engineering, medical sciences, or a related field.
  • Strong clinical understanding of medical imaging and clinical workflows; ultrasound experience is strongly preferred.
  • Strong understanding of artificial intelligence and machine learning, medical imaging, data, and algorithm evaluation, with the ability to work effectively with AI researchers and engineers.
  • Experience translating clinical and product needs into technical or AI requirements.
  • Experience working across multidisciplinary clinical, product, and technical teams.
  • Ability to look across individual projects, identify common needs and gaps, and drive scalable and reusable approaches.

Responsibilities

  • Partner across Product, Clinical, and AI teams to consolidate clinical and product inputs across products into clear requirements for AI development.
  • Ensure AI-specific clinical requirements are comprehensively addressed across projects, including CTQs, clinical performance expectations, relevant workflow considerations, and workflow mitigations for AI-related risks.
  • Identify common needs across products and clinical applications and drive alignment towards reusable, product-agnostic AI capabilities where appropriate.
  • Work closely with AI researchers and engineers to ensure clinical requirements are clearly understood, technically actionable, and consistently applied across development activities.
  • Partner with Clinical, AI, Data, and annotation stakeholders to align data, annotation, and ground-truth needs with the intended clinical use and AI development needs.
  • Support coordination and consistency of annotation approaches and clinical definitions across projects, identifying gaps and opportunities for common practices.
  • Support the definition and interpretation of clinically meaningful AI performance metrics and evaluation results.
  • Identify cross-project gaps, inconsistencies, risks, and opportunities and drive alignment across the relevant stakeholders.
  • Support clinical and AI documentation and evidence needed for development, validation, and regulatory activities.

Desired Qualifications

  • Experience with ultrasound.
  • Experience with clinical data, annotation, ground truth, algorithm evaluation, or AI validation.
  • Strong analytical, communication, and cross-functional leadership skills.
  • Strong clinical judgement combined with technical understanding.
  • System-level thinking that connects needs across different clinical applications and products.
  • Comfort working at the intersection of Clinical, Product, and AI.
  • Ability to navigate ambiguity, identify gaps, and drive alignment across multiple stakeholders and projects.

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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