Biological data breaks standard ML assumptions in ways that textbooks don't warn you about. The cost of getting it wrong is a failed experiment, a wasted screen, or a model that never leaves the lab. TheBioMLPlayBook is a practitioner's field guide to the gap between what ML teaches and what bioML actually requires.