Data Scientist II

Job Summary

Responsible for leveraging advanced analytics, machine learning and statistical methodologies to extract meaningful insights from healthcare and operational data at Nicklaus Children's Health System. Areas of focus include analysis of electronic health records (EHR), genomic and precision medicine initiatives, financials and enterprise resource planning (ERP) data. Collaborates with researchers, clinical and operational teams within the health system. Works to ensure all data analysis activities are performed in accordance with applicable federal regulations, HIPAA requirements, and health system policies and procedures.

Job Specific Duties

• Applies machine learning, natural language processing, and AI techniques to analyze structured and unstructured healthcare data, including clinical, genomics, and operational datasets.
• Develops predictive models integrating multi-omics data (genomics, proteomics), biomarkers, and clinical outcomes to support precision medicine and personalized care pathways.
• Builds scalable data pipelines and connects complex healthcare data using graph database technologies (e.g., property graphs) to uncover hidden relationships across patients, treatments, and outcomes.
• Collaborates with data engineering and IT teams to operationalize models for real-time decision support, risk stratification, and resource optimization across clinical and business operations.
• Develops and validates predictive models to support clinical decision support, risk stratification, and outcome prediction for pediatric patient populations.
• Ensures all analytical activities comply with healthcare regulations, institutional policies, and research ethics requirements, including proper handling of protected health information.
• Partners with clinicians, researchers, and administrators to understand analytical needs, translate requirements into technical solutions, and communicate effectively.
• Maintains comprehensive documentation of analytical methods, validate analytical approaches, and ensure reproducibility of research findings.
• Provides technical expertise and training team members on data analysis techniques and healthcare analytics best practices.