Develops AI/ML algorithms, agentic workflows, and physics-informed computational methods for molecular discovery and drug design. Evaluates deep-learning models, integrates experimental and scientific data, supports Design-Make-Test-Analyze workflows, and collaborates with medicinal and computational chemists. The role includes building reproducible scientific software, conducting computational chemistry research, publishing findings, mentoring scientists, and deploying successful methods across discovery platforms.