Teams at Tempus AI

Conduct computational cancer and precision oncology research using large-scale genomic, transcriptomic, histopathological, and clinical datasets. Develop independent research projects, bridge molecular and clinical cancer data, and collaborate with clinicians, molecular biologists, and data scientists to advance genomic-guided medicine and improve patient outcomes.

Leads computational drug discovery research using genomic, clinical, imaging, and other multimodal data to identify cancer targets, patient subtypes, biomarkers, and therapeutic opportunities. Applies machine learning, real-world evidence, and organoid perturbation data while collaborating with AI/ML, biology, clinical, and product teams. Communicates findings to internal leaders and external pharma and biotech partners through presentations and publications.

Drives revenue and partnerships for Tempus data solutions serving pharmaceutical and biotechnology clients. Develops scientifically grounded solutions using real-world evidence, clinical, commercial, and omics data; builds executive relationships; advises customers on research and commercial objectives; communicates technical strategies; manages account opportunities; and collaborates with account, alliance, and operations teams. Requires approximately 30% domestic and international travel.