The MIT Consortium, Machine Learning for Pharmaceutical Discovery and Synthesis (MLPDS), brings together computer scientists, chemical engineers, and chemists from MIT with scientists from member companies to create new data science and artificial intelligence algorithms along with tools to facilitate the discovery and synthesis of new therapeutics. MLPDS educates scientists and engineers to work effectively at the data science/chemistry interface and provides opportunities for member companies and MIT to collectively create, discuss, and evaluate new advances in data science for chemical and pharmaceutical discovery, development, and manufacturing.