Senior AI Scientist

As a Senior AI Scientist you will work at the forefront of stateoftheart 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 crossfunctional teams comprising AI scientists clinicians statisticians software engineers and product managers to translate cuttingedge 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 dataefficient 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 productionready scalable and compliant AI systems.

* Contribute to technical documentation publications patents and knowledge sharing across the organization.

* Stay continuously abreast of emerging AI trends in medical imaging regulatory expectations and realworld clinical deployment challenges.

Educational 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 realworld solutions.

Technical Expertise

* Strong experience with modern deep learning frameworks (e.g. PyTorch TensorFlow) and model optimization techniques.

* Handson expertise in **medical image processing** using libraries such as SimpleITK MONAI OpenCV and related tools.

* Familiarity with selfsupervised 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 privacypreserving 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.

Ourtotal rewardsare 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 youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.

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