Manager, AI-Ready Data Modeling

Role: Manager, AI-Ready Data Modeling, supporting R&D by developing reusable, scalable data models aligned with enterprise standards to enable AI/ML and analytics. Responsibilities: design conceptual, logical, and physical models translating scientific needs into structured data assets; develop standards for AI-ready data structures; contribute to reusable schemas, promote data reuse, and collaborate with domain experts, data engineers, and data scientists to integrate models into workflows; ensure data quality, metadata, and governance compliance. Requirements: Bachelor’s/Master’s in Computer Science, Data Science, Bioinformatics, with relevant experience in data modeling, data architecture, or engineering; experience with structured data in complex environments, ideally in life sciences/R&D; proficiency in data platforms, modeling tools, schemas, and APIs; familiarity with AI/ML use cases preferred. High-Value: focus on R&D data assets in biotech/pharma, supporting AI/ML workflows, with experience in ontologies or semantic modeling a plus. WorkSetup: hybrid in Cambridge, MA; travel not specified.