The Research and Data Intern will assist in transforming data into actionable information within the life sciences sector, focusing on building machine learning (ML) models for drug discovery. The intern will work under the guidance of the R&D AI/ML architect and senior data scientists, engaging in projects that involve preparing data and developing ML models for chemical compound property prediction and chemical synthesis, as well as optimizing synthesis conditions using a Bayesian optimization tool.