Data Scientists/Machine Learning Engineers
Location:
Remote - Florida Department:
Analytics Center of Excellence Work Type:
Full Time Shift:
Shift 1/ to Minimum to Midpoint Pay Rate:
$90,667.20 - $117,852.80 / Annual Help Power Clinical Innovation Through AI 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. This is a newly created role with a strong focus on translating advanced analytics into practical, scalable tools that improve clinical decision-making, patient safety, quality outcomes, and operational efficiency. Position Summary The Data Scientist / ML Engineer collaborates closely with clinical stakeholders, operational leaders, and IT teams to solve real-world healthcare challenges using advanced data science and machine learning techniques. This role goes beyond model development it ensures that AI solutions are: Clinically relevant Operationally feasible Seamlessly integrated into provider workflows Designed to enhancenot burdenthe end user experience You will design scalable data architectures, build predictive and prescriptive models, and translate complex analytics into actionable tools that clinicians can trust and use effectively in patient care environments. What Youll Do Clinical-Focused AI & Machine Learning 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 Clinical Workflow Integration 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 Enterprise Data & Architecture 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 Communication & Change Enablement 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 Required Qualifications Education Bachelors degree in Information Systems, Computer Science, Mathematics, Engineering, Statistics, or related scientific discipline required Masters or PhD with specialization in Machine Learning or Artificial Intelligence preferred Experience 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 Experience working with healthcare clinical data strongly preferred (e.g., Epic, Lawson) Experience applying formal Quality Management methodologies (Lean, Six Sigma, TQM) preferred Technical Skills 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 What Sets You Apart 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 Why Join Lee Health? Lee Health is one of Floridas largest and most respected healthcare systems, committed to improving lives through innovation and excellence in care. This role offers:
A foundational position within a growing enterprise AI program Direct impact on patient care and clinical decision-making Collaboration with executive, clinical, and technical leadership Remote flexibility within Florida The opportunity to shape the future of AI in healthcare If you are excited about building AI solutions that clinicians rely on every dayand want to make a meaningful impact on patient carewe encourage you to apply.
Apply Now
Apply Now
Remote - Florida Department:
Analytics Center of Excellence Work Type:
Full Time Shift:
Shift 1/ to Minimum to Midpoint Pay Rate:
$90,667.20 - $117,852.80 / Annual Help Power Clinical Innovation Through AI 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. This is a newly created role with a strong focus on translating advanced analytics into practical, scalable tools that improve clinical decision-making, patient safety, quality outcomes, and operational efficiency. Position Summary The Data Scientist / ML Engineer collaborates closely with clinical stakeholders, operational leaders, and IT teams to solve real-world healthcare challenges using advanced data science and machine learning techniques. This role goes beyond model development it ensures that AI solutions are: Clinically relevant Operationally feasible Seamlessly integrated into provider workflows Designed to enhancenot burdenthe end user experience You will design scalable data architectures, build predictive and prescriptive models, and translate complex analytics into actionable tools that clinicians can trust and use effectively in patient care environments. What Youll Do Clinical-Focused AI & Machine Learning 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 Clinical Workflow Integration 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 Enterprise Data & Architecture 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 Communication & Change Enablement 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 Required Qualifications Education Bachelors degree in Information Systems, Computer Science, Mathematics, Engineering, Statistics, or related scientific discipline required Masters or PhD with specialization in Machine Learning or Artificial Intelligence preferred Experience 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 Experience working with healthcare clinical data strongly preferred (e.g., Epic, Lawson) Experience applying formal Quality Management methodologies (Lean, Six Sigma, TQM) preferred Technical Skills 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 What Sets You Apart 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 Why Join Lee Health? Lee Health is one of Floridas largest and most respected healthcare systems, committed to improving lives through innovation and excellence in care. This role offers:
A foundational position within a growing enterprise AI program Direct impact on patient care and clinical decision-making Collaboration with executive, clinical, and technical leadership Remote flexibility within Florida The opportunity to shape the future of AI in healthcare If you are excited about building AI solutions that clinicians rely on every dayand want to make a meaningful impact on patient carewe encourage you to apply.
Apply Now
Apply Now