Staff AI Scientist
GE HealthCare — IND19-01-Bengaluru-EPIP 122 (Phase II)
Job Description Summary 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. Job Description 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. * Stay continuously abreast of emerging AI trends in medical imaging, regulatory expectations, and real‑world clinical deployment challenges. Educational Qualifications: * PhD in Computer Science, Electrical Engineering, Biomedical Engi
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