Associate Director of Machine Learning

Leading a high-impact team, the full-time salaried Associate Director of Machine Learning will set scientific direction, manage machine learning scientists, and collaborate with cross-functional teams to enhance predictive modeling for small molecules in a hybrid work environment. Key responsibilities Lead and develop a team focused on ADMET/PK prediction and multiparameter design for small molecules Establish scientific strategy and priorities for the Machine Learning Sciences team aligned with broader research goals Collaborate with various scientific disciplines to integrate machine learning predictions into project workflows and decision-making Required qualifications Advanced degree in Chemistry, Computational Chemistry, Computer Science, Engineering, or a related field with relevant experience (Bachelor's with 12+ years, Master's with 10+ years, or PhD with 8+ years) Proven track record of leading teams or projects with measurable scientific impact Experience applying machine learning methods to drug discovery-related problems Ability to communicate complex technical concepts to diverse audiences Demonstrated initiative in evaluating and adopting new methodologies and technologies