The incumbent is responsible for gathering requirements and designing applications that support enterprise quality initiatives using deep expertise in healthcare data and Large Language Models
Job Summary
The incumbent is responsible for gathering requirements and designing applications that support enterprise quality initiatives using deep expertise in healthcare data and Large Language Models.
This role requires developing robust machine learning models and implementing LLM-powered workflows with a strong emphasis on safety, privacy, regulatory compliance, and bias mitigation.
Success in this role involves leading complex projects focused on workflow automation and translating complex business needs into scalable, high-impact technical solutions.
Matching Summary
The incumbent is responsible for gathering requirements and designing applications that support enterprise quality initiatives using deep expertise in healthcare data and Large Language Models.
Salary
Base: $95,400 - $208,300 annually; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Python programming with AI/ML tools
LLM and RAG framework implementation
Prompt engineering for healthcare workflows
Machine learning model lifecycle management
Structured and unstructured data analysis
Nice-to-have
Experience with Epic EMR data structures
AI data governance and privacy knowledge
Teaching or mentoring junior analysts
Bias mitigation in clinical outcomes
Intellectual curiosity for complex challenges
Key Requirements
Master's degree in Computer Science or related field