Stanford Health Care
Stanford Health Care is a nonprofit academic medical center that provides hospital and outpatient services for adult patients across the Bay Area. It offers specialty care in oncology, neuroscience, cardiovascular medicine, orthopaedics, transplant, and primary/urgent care, with clinical operations anchored by Stanford Hospital and a regional clinic network. Headquartered in Palo Alto and affiliated with the Stanford University School of Medicine, it traces its roots to 1885.
Open Positions at Stanford Health Care
7 open positions
The Senior Data & AI Solutions Engineer builds and deploys AI/ML applications, predictive models, BI solutions, and enterprise ETL pipelines for Stanford Blood Center. The role combines software engineering, advanced analytics, data architecture, and operational optimization across clinical, laboratory, and blood-product workflows.
Senior ServiceNow Developer responsible for designing, configuring, customizing, and supporting enterprise-scale ServiceNow solutions. The role focuses on ITSM workflow automation, integrations, scripting, and translating business needs into effective platform capabilities.
Lead the design and operation of data infrastructure powering AI/ML solutions for patient care, medical research, and healthcare administration at Stanford Health Care. This hybrid role combines large-scale data engineering, MLOps, cloud infrastructure, and mentorship.
Clinical Systems Analyst II responsible for developing, integrating, supporting, and optimizing healthcare applications in a hybrid Stanford Health Care environment. The role combines backend software development, API and database work, production troubleshooting, and clinical systems support.
Build and operate the cloud-native infrastructure, deployment pipelines, and observability systems that power Stanford Health Care’s AI/ML and agentic applications. This hybrid role combines DevOps, MLOps, Kubernetes, and Python-based AI application development to support clinical, research, and operational workflows.
Sr. Enterprise AI Platform Engineer designing data pipelines, cloud infrastructure, and automation that enable data scientists to build and deploy AI/ML solutions across Stanford Health Care. The role combines enterprise data engineering, platform operations, governance, and performance monitoring.
Lead Stanford Health Care’s cloud infrastructure strategy and operations across Azure, AWS, and Google Cloud, supporting modern applications, AI/ML workloads, and data engineering environments. This hybrid principal role combines cloud architecture, automation, security, troubleshooting, and executive-level project leadership.