Data Scientist - Machine Learning Engineer

Lee Health is expanding our Artificial Intelligence capabilities as part of our enterprise AI growth strategy. We are seeking a Data Scientist / Machine Learning Engineer who will play a critical role in developing AI-driven solutions that directly support clinical end users including physicians, nurses, advanced practice providers, and care teams.

Responsibilities:

• Partner directly with physicians, nursing leaders, and clinical teams to understand workflow challenges and decision-support needs
• Develop predictive and prescriptive models to support:
• Clinical risk stratification
• Early detection and intervention strategies
• Quality improvement initiatives
• Patient safety enhancements
• Operational throughput and care coordination
• Apply advanced ML techniques including:
• GLM / regression
• Random forests, boosting, and trees
• Hierarchical clustering
• Text mining and NLP
• Deep learning (CNNs, RNNs)
• Graph and pattern analysis
• Ensure models are designed for real-world clinical adoption
• Collaborate with Epic and enterprise application teams to embed analytics into clinical systems
• Validate model performance and usability in partnership with end users
• Translate model outputs into intuitive dashboards, alerts, and decision-support tools
• Design scalable data model architectures across multiple disparate systems
• Work with clinical and operational data sources (e.g., Epic and enterprise systems)
• Promote shared AI infrastructure and reusable solutions to prevent redundancy
• Ensure governance, performance optimization, and strategic alignment
• Present complex analytical findings to clinical audiences with varying levels of technical understanding
• Use storytelling and visualization techniques to build trust in AI solutions
• Support adoption efforts through education and collaboration

Requirements:

• Bachelors degree in Information Systems, Computer Science, Mathematics, Engineering, Statistics, or related scientific discipline required
• Minimum 4 years of experience designing and managing complex data models across multiple systems
• Experience leading ML projects that support operational or clinical decision-making
• Strong background in statistical analysis and advanced model development
• Proficiency in Python, R, SQL, SAS, MATLAB, SPSS, Excel, and/or C++
• Knowledge of advanced statistical and data mining techniques
• Experience with deep learning and modern AI frameworks
• Strong understanding of generative AI and its future clinical applications
• Masters or PhD with specialization in Machine Learning or Artificial Intelligence preferred
• Experience working with healthcare clinical data strongly preferred (e.g., Epic, Lawson)
• Experience applying formal Quality Management methodologies (Lean, Six Sigma, TQM) preferred
• Experience developing AI solutions that directly support clinicians
• Ability to bridge technical and clinical domains
• Strong interpersonal skills and comfort engaging with physician leadership
• Exceptional presentation and storytelling abilities
• Passion for responsible, ethical AI in healthcare