Staff Machine Learning Engineer focused on architecting, building, and maintaining the critical data infrastructure for large multimodal generative AI models in healthcare, processing diverse data types like genomics, pathology images, and clinical notes.

Director of Epidemiology & Methodological Innovation to lead high-impact research for biopharma partners, focusing on developing and validating novel epidemiological methods using multimodal datasets (clinical, molecular/genomic) and applying causal inference and machine learning techniques. This role involves client-facing strategy, scientific thought leadership, and bridging data science with productization, with a strong emphasis on regulatory-grade insights for drug development.

Senior Software Engineer II on the Data Products team, responsible for building foundational infrastructure for Tempus' clinical, research, and AI capabilities. The role involves architecting and driving technical strategy for services and APIs that support data scientists and ML/Agent developers, focusing on data storage, governance, and integrating GenAI technologies within a regulated healthcare environment.