As a Staff AI Scientist, you will work at the forefront of state‑of‑the‑art AI for medical imaging, contributing to commercially deployed solutions that leverage recent advances in deep learning, foundation models, and multimodal AI. You will collaborate within cross‑functional teams comprising AI scientists, clinicians, statisticians, software engineers, and product managers to translate cutting‑edge research into scalable healthcare products.
GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.
Roles and Responsibilities:
Design, develop, and deploy advanced deep learning models for medical image analysis, including detection, segmentation, classification, and quantification tasks across diverse imaging modalities.
Leverage and adapt modern model architectures for data‑efficient model development.
Explore and integrate foundation models and multimodal learning approaches that combine imaging with clinical text, reports, and metadata.
Develop robust research prototypes with strong experimental rigor, evaluation metrics, and clinical relevance, under minimal supervision.
Drive data-centric AI practices, including dataset curation, quality assessment, bias analysis, and annotation strategies at scale.
Collaborate closely with software and MLOps teams to enable production‑ready, scalable, and compliant AI systems.
Contribute to technical documentation, publications, patents, and knowledge sharing across the organization.
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Stay continuously abreast of emerging AI trends in medical imaging, regulatory expectations, and real‑world clinical deployment challenges.
Qualifications:
PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, or equivalent practical experience with a strong research track record.
Publications in leading conferences, journals, or reputable public repositories in AI/ML or medical imaging.
Demonstrated ability to translate research innovations into clinically meaningful, real‑world solutions.
Technical Expertise:
Strong experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow) and model optimization techniques.
Hands‑on expertise in medical image processing using libraries such as SimpleITK, MONAI, OpenCV, and related tools.
Familiarity with self‑supervised learning, transfer learning, foundation models, and multimodal AI applied to healthcare data.
Experience with experiment tracking, model versioning, and reproducibility best practices.
Working knowledge of data governance, privacy‑preserving AI, and regulatory considerations in healthcare AI.
Inclusion and Diversity
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
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Additional Information
Compensation Grade
LPB1
Relocation Assistance Provided: Yes
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