Top AI & Machine Learning Jobs in Boston, MA

Leads applied AI and machine learning strategy, development, evaluation, governance, and adoption across Pfizer’s Internal Medicine Research Unit. Translates foundation models, LLMs, agentic systems, and multimodal AI into reusable capabilities for scientific discovery, drug development, and evidence generation. Partners with scientists, digital teams, and external collaborators to identify high-value use cases, ensure methodological rigor, and guide responsible deployment. Requires strong technical leadership, scientific judgment, cross-functional influence, and experience applying AI in complex environments.

Designs, builds, and operates production-grade agentic AI systems and orchestration frameworks. Responsibilities include prompt architecture, tool and API integrations, monitoring, evaluation, cost controls, reliability improvements, and governance documentation. The engineer collaborates with data science, data engineering, and governance teams to ensure reliable, compliant workflows using structured healthcare and pharmaceutical data.

Leads data science methodology and advanced analytics for AI-enabled Medical Affairs workflows. Develops and evaluates statistical, machine-learning, NLP, and AI models using healthcare and real-world data; defines validation, monitoring, and decision frameworks; partners with engineering, governance, and business teams to operationalize solutions. Provides technical leadership, mentorship, documentation standards, and strategic guidance while ensuring privacy, compliance, responsible AI use, and clear communication of analytical findings.

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