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 and AI/ML tools including LLMs
Prompt engineering for healthcare workflows
Machine learning model development lifecycle
Structured and unstructured data analysis
Data governance, privacy, and security
Nice-to-have
Experience with Epic or EMR data structures
Teaching or mentoring junior analysts
PhD in Computer Science or Biomedical Informatics
Strong intellectual curiosity for technical challenges
Key Requirements
Master's degree in Computer Science, Engineering, Mathematics, or related field
6+ years experience using Python and AI/ML tools
4+ years of prompt engineering applied to healthcare workflow automation
3+ years supporting AI-enabled analytics using structured and unstructured data
2+ years in ML model development lifecycles and data preparation