We are witnessing a rapid evolution of the healthcare ecosystem boosted by new technologies to better quantify health and bring data driven insights into clinical and pharmaceutical decision making. We will outline the significant challenges associated with conceiving and brining a new drug to market, and highlight the potential that machine learning offers to augment this process via a growing amount and diversity of health data. In particular, personalized and precision medicine are becoming a must for better care. We will dive into specific examples on how machine learning is tailoring drug development via recommended patient characteristics and subgroups, as well as the challenges of working with health data. And lastly, how fresh talents can take their first steps towards launching a career in this space.