Extract, clean, and analyze large datasets from Epic EMR and other healthcare data sources.
Develop and maintain data pipelines to ensure the accurate and timely flow of data.
Perform data validation and ensure data quality and integrity.
Implementation of Rules-Based Logic:
Develop and implement rules-based logic to support various healthcare use cases, including One Stop Benefits, Charge Capture Automation, and Denials Optimization.
Create structured data models that facilitate the application of rules-based logic.
Design and implement structured data models for RAG to enhance data retrieval and generation processes.
Develop dashboards and visualizations to present RAG insights and other key performance indicators to stakeholders.
Utilize AI and ML techniques to enhance the accuracy and predictive capabilities of the RAG models.
Collaboration and Communication:
Work closely with cross-functional teams, including data engineers, developers, and healthcare professionals, to understand project requirements and deliver data-driven solutions.
Communicate complex analytical results and insights to non-technical stakeholders in a clear and concise manner.
Project Execution:
Participate in agile development processes and contribute to sprint planning, reviews, and retrospectives.
Ensure timely delivery of project milestones and adhere to project timelines.
Preferred Skills
Design and implement predictive models using various machine learning techniques, including both supervised and unserved algorithms.
Utilize deep statistical analysis to understand and model complex public health data.
Develop and deploy Large Language Models (LLMs) for creating chatbots and extracting insights, enhancing user engagement and information dissemination.
Analyze clinical data to derive insights that improve patient care and clinical workflows.