Senior Principal Scientist, Agentic Systems Development for Drug Discovery

Role: Senior Principal Scientist specializing in computational sciences and agentic AI systems for drug discovery. Objectives: develop, test, and deploy AI-enabled solutions to enhance scientific workflows, decision-making, and productivity, primarily focusing on small molecules and protein therapeutics. Responsibilities: translate scientific requirements into autonomous AI solutions capable of complex reasoning; collaborate with cross-functional teams to deliver scalable, production-grade AI systems; design testing and validation strategies; contribute to innovation in agentic and generative AI applications. Requirements: Ph.D. in Computational Chemistry, Cheminformatics, or related field; over 8 years of experience in scientific software development and drug discovery applications; expertise in cheminformatics, machine learning, and AI tools, with strong Python and DevOps skills; experience deploying AI solutions in scientific contexts. HighValue: biopharma drug discovery, small molecules, computational sciences, AI-enabled workflows, cross-disciplinary collaboration. WorkSetup: hybrid Boston-based position, requiring 3 days/week onsite.