U
AI engineer/data scientist
University of California, San Francisco
3 hours ago
Full-time
On-site
San Francisco, California, United States
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
Qualifications 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 (e.g., 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)
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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
Qualifications 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 (e.g., 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)
#J-18808-Ljbffr