Position Details
About this role
Lead the design, development, and research around complex AI/ML models for strategic initiatives in healthcare analytics, extracting insights from large healthcare datasets and delivering production-ready valuation frameworks.
Key Responsibilities
- Lead design and research around AI/ML models
- Write complex SQL and Python/R code to extract data
- Build production-ready valuation frameworks and CI/CD pipelines
- Translate clinical interventions into financial forecasts
- Monitor model metrics and fairness review
Technical Overview
Hands-on ML/AI with SQL/Python/R, DataBricks, Git, containerized deployment with Kubernetes/Docker, and CI/CD; interface with executive stakeholders and translate technical results into business value.
Ideal Candidate
The ideal candidate is a lead data scientist with 5-7 years of data science experience in healthcare or regulated environments, strong ML/AI modeling, proficiency in SQL/Python/R, and deployment via containers and CI/CD with the ability to translate methodologies into executive business impact.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Not authorized to work in the United States, Lack of a Bachelor's degree in a quantitative field, Less than 5 years of data science experience, Less than 5 years of SQL experience, No ML/AI experience in Python or R
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