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The Capital Finance Manager at Stanford Health Care leads annual capital budgeting, oversees planning workflows, manages systems, tracks KPIs, generates reports, and collaborates across the healthcare system to improve capital budgeting programs.

The Program Manager leads functional and cross-functional improvement programs by defining goals, overseeing deliverables, implementing quality controls, and coordinating staff training. They also manage program design and development, maintain data related to program implementation, and track progress metrics, ensuring collaboration across various hospital departments and compliance with regulations.

The Project Manager at Stanford Blood Center is responsible for leading key initiatives, coordinating project management aspects including scope, schedule, and budget. They ensure projects are completed successfully while acting as the main liaison between stakeholders. Responsibilities include developing project plans, managing resources, and tracking project progress to meet objectives and deadlines.

The Sr. Software Engineer will build, test, and maintain front-end web applications at Stanford Health Care, collaborating with product managers, designers, and engineers. Responsibilities include developing web solutions, implementing user experience best practices, and ensuring efficiency improvements in software development lifecycle phases.

The Perfusionist I, Assistant operates extracorporeal circulation equipment during medical situations to support or replace patients' circulatory and respiratory function. They assist higher-level perfusionists, monitor physiological functions, and administer prescribed medications. The position requires active ABCP certification as a CCP within two years.

The Data Engineer will be responsible for building data pipelines and infrastructure for ML models, analyzing data processing requirements, troubleshooting production issues, and collaborating with different teams at Stanford Health Care. Preferred skills include knowledge of multiple programming languages, resource management, and a collaborative mindset.

The Data Scientist will develop and implement AI and ML models to improve patient care and administrative services. They will collaborate with clinicians and researchers, evaluate healthcare data tools, and ensure the safe application of machine learning algorithms in clinical settings.