Lead AI Insights Engineer
New
United StatesFull-TimeLead
Salary129,700 - 162,100 USD per year
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Job Details
- Experience
- 7+ Years of experience in a related field, including Analytics, Data Science, or Data Engineering. 3+ Years in a healthcare setting.
- Required Skills
- PythonSQLMachine LearningSnowflakeData engineeringdbtNLP
Requirements
- 7+ years of experience in Analytics, Data Science, or Data Engineering.
- 3+ years of experience in a healthcare setting, preferably value-based care.
- Bachelor’s or master’s degree in a quantitative field.
- Strong SQL skills (Snowflake and dbt preferred).
- Advanced knowledge of at least one programming language (Python preferred).
- Experience with cloud data engineering and AI infrastructure (Snowflake Cortex, dbt, AWS Sagemaker/Bedrock).
- Experience with AI-enabled development (Claude Code, Cursor, MCP server development).
- Deep knowledge of healthcare data sources (FHIR, claims, pharmacy, lab data).
- Understanding of US value-based care concepts (Medicare payment models, medical margin).
- Excellent communication skills.
Responsibilities
- Leverage LLM tools to drive early disease identification and clinical recommendations through unstructured clinical data.
- Create production-grade AI products, including the supporting data pipelines, monitoring, and performance analysis.
- Communicate the value and opportunities of AI to internal stakeholders.
- Collaborate with Market Operations, Insights Engineering, and Clinical teams to drive real-world outcomes.
- Contribute to the development of AI products in an agile environment.
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