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Lead research and development of large-scale multimodal foundation models for precision medicine using clinical and molecular data. Responsibilities include model architecture, pretraining, representation learning, self-supervised and multimodal learning, downstream clinical applications, scientific publication, technical leadership, and validation for healthcare and life sciences products. The role requires collaboration across research, engineering, regulatory, and product teams.

The Associate Principal Scientist will design and execute research projects, perform computational analyses, and communicate insights in precision medicine for oncology, collaborating with stakeholders.

This role involves onboarding clients, solving scientific problems, guiding data analysis on the Tempus platform, and creating documentation. Requires expertise in biomedical datasets and programming.

The Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.

As a Staff AI Scientist, you will lead AI projects, design deep learning models using multimodal data, and ensure regulatory compliance in healthcare AI products.