Define and implement AI-enabled approaches for design and analysis of functional genomics and perturbation biology experiments, including methods for data discovery, experimental evidence synthesis, analysis planning, workflow execution, quality control, interpretation, and generation of scientific deliverables. PhD in Computational Biology, Bioinformatics, Cancer Biology, Functional Genomics, Human Genetics, Genomics, Data Science, or a related discipline, with 7 or more years of relevant post-degree experience and a demonstrated record of scientific impact; or equivalent combination of education and experience.