Top AI & Machine Learning Jobs in Boston, MA

As an AI Data Engineer, you will develop full stack applications integrating AI capabilities to support pharmaceutical research, enhancing workflows and productivity. Responsibilities include collaborating with researchers, developing scalable backend services, and deploying systems in AWS.

Develop, validate, and interpret ML models and end-to-end pipelines to predict oral drug absorption using large, heterogeneous biopharmaceutics and clinical datasets. Emphasize model explainability, uncertainty quantification, and mechanistic/physics-informed approaches, translate outputs into actionable insights for drug development teams, and communicate results via reports, presentations, and publications while contributing to AI-enabled predictive platforms.

The role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

Lead the design of biotherapeutics using AI/ML methods. Collaborate with teams to implement workflows, optimize antibody engineering, and analyze large biological datasets.