Stanford University
US - California - Stanford
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Design and develop data pipelines to integrate EEG, imaging, and EHR data into a cloud-based Brain Data Science Platform. The role involves automating data de-identification and deploying AI models into clinical settings for brain health research.
Requirements: Requires a Bachelor's degree and at least three years of experience in production data pipelines and Python. Preference is given to candidates with a Master's or PhD and expertise in healthcare data standards and AWS infrastructure.
Key Skills: Python, AWS, Data Pipeline Engineering, Electronic Health Record (EHR) Data, Workflow Orchestration, Docker, Git, CI/CD, Healthcare Data Standards, De-identification of PHI, Time-series Data Analysis, Machine Learning Deployment, Clinical Neurophysiology, Project Management, Backend Services, Infrastructure-as-Code
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