AI Engineer/Data Scientist

Our team serves as the data science arm of the PROSPECT lab, which is the digital innovation team at Zuckerberg San Francisco General Hospital. The mission of PROSPECT is to improve health outcomes and equity in vulnerable and underserved populations through the application of novel technologies and digital tools. Our team is looking for an AI engineer to join our team, who will help research, architect, implement, and scale AI technologies at the hospital. The PROSPECT team is highly interdisciplinary, with experts spanning medicine, AI/ML, statistics, and clinical informatics. Primary Responsibilities

Responsibilities include:

• Develop and deploy HIPAA compliant AI applications that integrate directly into the EHR system
• Build data pipelines that process high volumes of clinical notes and multi-modal Electronic Health Record (EHR) data
• Create robust infrastructure and tooling to enable and accelerate AI research efforts for the broader team
• Conduct independent research on how to ensure the safety, reliability, and effectiveness of clinical AI tools
• Collaborate closely with clinicians, informaticists, and interdisciplinary team members
• Prepare and submit research manuscripts to ML/AI conferences and/or clinical AI journals
• Design and implement open-source software packages for the research and clinical communities

The position requires an MS or PhD in computer science, data science, or a related field and/or equivalent working experience. We are looking for someone who:

• Has strong software engineering skills with experience building production systems
• Has experience with cloud platforms (AWS, Azure, or GCP) and containerization (eg, Docker)
• Is proficient in designing databases, building scalable data pipelines, and processing large-scale datasets
• Can work independently and take ownership of complex technical projects
• Has experience with EHR systems and healthcare data integration (strongly preferred)
• Has experience with natural language processing and processing clinical notes (strongly preferred)
• Has interest in methodological development and independent research (strongly preferred)