Senior Machine Learning Scientist I, Drug Discovery Analytics

Senior ML Scientist to accelerate drug discovery by developing predictive models and analytics to transform complex chemical, biological, and phenotypic data into actionable insights. Collaborates with medicinal chemists and biologists to support target discovery, lead optimization, and translational research; builds data-driven discovery ecosystems where data, analytics, and experimentation continuously inform each other. Responsibilities include designing and implementing ML models to predict compound activity, selectivity, and developability; developing predictive frameworks for ADME/Tox, target engagement, and phenotypic outcomes; applying deep learning, graph neural networks, and ensemble methods; evaluating model performance and integrating models into discovery pipelines. Requires strong ML expertise and ability to work with experimental scientists to solve real-world scientific problems.