Data Science Jobs in Cambridge, MA

Lead development and deployment of production-grade AI/ML and agentic systems for computational toxicology. Fine-tune foundation models, integrate multimodal datasets, establish MLOps and governance, collaborate with toxicologists and scientists, and ensure explainability, reproducibility, and regulatory-ready practices for preclinical safety assessments.

The Analytical Data Science Lead guides technical strategy and operational execution for multiple clinical programs, ensuring high-quality and regulatory-compliant analytical outputs, while managing a team of programmers and fostering innovation.

The Director of Data Science will lead AI/ML projects, ensuring their scalability and production readiness while collaborating across functions to drive business growth.

Lead multimodal oncology biomarker discovery using advanced AI/ML to integrate RNAseq, WES, ctDNA, digital pathology, proteomics, and clinical data. Drive translational analyses across internal stakeholders, validate biomarkers, inform diagnostic development, and manage a team of computational scientists supporting drug development.

Build and maintain full-stack internal applications: backend services/APIs, frontend UIs (React), and workflow automation. Own features end-to-end, drive architecture discussions, ensure testability, maintainability, and quality through code reviews.

Lead development and deployment of AI/ML solutions for drug discovery by translating biomedical questions into scalable models, collaborating with scientists and engineering teams, validating model performance, defining evaluation metrics, and driving adoption across biomedical research stakeholders.

Lead development and deployment of hybrid ML and mechanistic modelling pipelines (PK/PD, QSP) to generate actionable insights across drug discovery and development. Drive reproducible workflows, integrate diverse datasets, advance AI-augmented modelling, and communicate results to influence translational decision-making.