Lead the scientific development of agentic AI frameworks for discovering prognostic and predictive models in oncology, integrating LLM orchestration with translational science. Architect 'deep agents' for hypothesis generation, experimental design, and multimodal ML using foundation models. Innovate scientific methodology, develop predictive models and causal inference frameworks, and scale scientific discovery.

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.

Associate Director RWE, PharmaR&D at Tempus AI, focusing on designing and executing research projects for biopharmaceutical partners using real-world evidence and AI. The role involves computational analysis, guiding algorithm development, and incorporating LLMs and agentic workflows into research processes to advance cancer precision medicine.

This role supports commercial, research, and educational objectives by providing medical support and educating healthcare providers about Tempus' AI-powered platform and assays in oncology. The MSL will engage with Key Opinion Leaders (KOLs) and investigators to foster external research collaborations, assess study proposals, and serve as a liaison between internal data scientists and external researchers. Responsibilities include identifying data gaps, managing study collaborations, supporting medical writing, and contributing to the Medical Research Strategy.

Anatomic Pathologist role focused on pathology review for research and clinical specimens, IHC sign out, and collaboration on AI initiatives and lab innovation projects within a healthcare setting. The role requires experience in regulated clinical laboratory environments and compliance.