Cheminformatics & Synthesis Prediction

Role: Senior Engineer I, Cheminformatics & Synthesis Prediction at Ginkgo Datapoints, supporting computational workflows for building and navigating makeable chemical spaces and reaction prediction. Responsibilities: develop and optimize reaction enumeration workflows, manage large vendor catalogs, enhance structural handling, integrate retrosynthesis and reaction-condition models, and contribute to data pipelines and automation tools. Collaborate with chemists to translate synthetic questions into reliable computational systems, and evaluate models for coverage and applicability. Qualifications: Ph.D. in cheminformatics, chemistry, or related field plus 3+ years industry experience or equivalent; expertise in reaction prediction, cheminformatics toolkits like RDKit, Python, and data pipeline development; strong chemistry fluency and communication skills. Preferred: experience with large chemical spaces, reaction modeling, uncertainty estimation, and integrating computational tools with wet-lab workflows. HighValue: focus on building scalable, production-grade cheminformatics workflows supporting AI-driven drug discovery, reaction prediction, and autonomous laboratory platform integration. WorkSetup: based in Boston, MA; details on travel or remote work not specified.