training objectives are grounded in drug discovery needs Communicate results to internal teams, external partners, and at conferences Write high-quality research and engineering code: refactor, test, document, and package ML components to support team velocity QUALIFICATIONS PhD in machine learning, computer science, computational chemistry, physics, or a related … related methods Systematic hyperparameter optimization or large-scale experimentation using tools such as Optuna, Ray Tune, or similar frameworks Strong engineering practices: reproducible experimentation, clean code, testing, and performance-aware debugging Comfort with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking tools such as Weights & Biases) PREFERRED ...