As an AI Researcher on our new Foundation Models team, you will help build the next generation of AI that understands human health at a deep, multimodal level. Our mission is to develop foundational models that integrate diverse, large-scale health data-including structured EHR, unstructured clinical notes, genomics, and wearable sensor data-to unlock novel insights and power future clinical and research applications. In this role, you will design novel deep learning architectures, conduct applied research in self-supervised and multimodal learning, and translate your findings into robust, scalable models. You will focus on building representations that capture the complex, longitudinal nature of patient health, creating a core asset that will accelerate discovery and product development across the organization. Success in this role requires scientific creativity, a strong sense of self-initiative, and pragmatic engineering. You'll be exploring the state of the art in foundation models (including LLMs and multimodal architectures) while ensuring these models are reliable, interpretable, and adaptable for a wide range of downstream clinical and research applications.