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Description
In this role, you will use your skills and experience in state-of-the-art generative models to design, implement and evaluate novel user experiences that impact our customers’ health. The successful candidate should possess excellent communication skills and ability to work cross-functionally to translate research at the intersection of Health and Machine Learning into impactful features.
Minimum Qualifications
Minimum of 10 years of experience in healthcare AI/ML with demonstrated expertise in deep learning, large language models (LLMs), or foundation models in the healthcare domain. Track record in clinical-grade AI research in Health science Knowledge in clinical informatics, computational biology, and medicine highly preferred Strong background in large language models and generative models, with hands on implementation experience across pipelines, tools and technology stack Experience in conversational systems, retrieval augmented generation or related fields Ph.D. or M.S in Clinical informatics, Computational Biology, Biostatistics, Computer Science, Machine Learning, Mathematics or related fields or an equivalent qualification obtained through other avenues
Preferred Qualifications
Ability to thrive in fast-paced environment, deal with uncertainty, and adapt to new and changing requirements Proven track record of contributing to diverse teams in a collaborative environment A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills
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