PathAI
PathAI builds AI-powered pathology software and diagnostic services for biopharma, pathology labs, and health systems to support disease detection, clinical trials, and companion diagnostics. Offerings include machine-learning models for digital histopathology and a CLIA-certified lab operation. Founded in 2016 and headquartered in Boston, it operates as part of Quest Diagnostics and focuses heavily on oncology and immunology applications.
Open Positions at PathAI
6 open positions
PathAI is hiring a Senior Fullstack Software Engineer to build and evolve a clinical-trial SaaS platform supporting AI-powered pathology workflows. The role combines Python backend development, modern frontend engineering, architecture, and cross-functional collaboration in a hybrid Boston setting.
PathAI is seeking an early-career Software Development Engineer in Test to build and maintain automated testing infrastructure for its AI-powered pathology platform. The role combines test automation, debugging, CI/CD, and cloud-based test environment management using AWS and Kubernetes.
Senior Software Engineer, ML Ops responsible for building and scaling reliable machine learning infrastructure and automation for PathAI’s enterprise AI systems. The role bridges research and production through ML deployment, monitoring, orchestration, and internal development platforms.
PathAI is seeking a Senior Backend Software Engineer to build APIs and data pipelines that support clinical workflows and real-time data exchange. The role offers the opportunity to shape a healthcare AI platform while collaborating across product, infrastructure, machine learning, clinical, QA, and regulatory teams.
Develop and deploy machine learning models that advance AI-powered pathology, medical research, and patient care. This role combines applied research, experimental design, production model development, and collaboration across scientific and engineering teams.
PathAI is seeking a Machine Learning Engineer II to develop, deploy, and improve machine learning models for AI-powered pathology products and research. The role combines applied research, model development, experimental analysis, and collaboration across biomedical science, product, MLOps, and platform teams.