Data Scientist - Gen AI

Roles and Responsibilities

• Design, develop, and deploy data science models using Python, AWS, and LLM (Large Language Model) technologies.
  
• Collaborate with cross-functional teams to identify business problems and design solutions that leverage gen AI capabilities.
  
• Develop scalable data pipelines using Bedrock framework to integrate various data sources into SageMaker model development.
  
• Conduct exploratory data analysis, feature engineering, and model evaluation to ensure high accuracy and reliability of results.
  
• Provide technical guidance on best practices for implementing machine learning algorithms in production environments.

• Analyze large, complex healthcare datasets, including electronic health records (EHR) and claims data.

• Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization.

• Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization

• Create and maintain automated data pipelines for real-time analytics and reporting

• Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance.

• Develop and deploy models in cloud environments while creating visualizations for stakeholders

• Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives