Data Scientist

We are seeking a highly skilled and motivated Data Scientist with expertise in Epic EMR (Electronic Medical Records) data to join our team. The successful candidate will play a critical role in leveraging Snowflake's data platform to accelerate the adoption of AI in health and hospital projects. This role involves implementing rules-based logic and creating structured data models for Retrieval-Augmented Generation (RAG) to support decision-making and improve operational efficiency and clinical outcomes. KEY RESPONSIBILITIES: Data Management and Analysis: • 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. RAG (Retrieval-Augmented Generation) Implementation: • 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 Client 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. QUALIFICATIONS: Education • Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or a related field. A Ph.D. is a plus. Experience • Minimum of 5 years of experience in data science, with a focus on healthcare analytics. • Proven experience working with Epic EMR data, including extraction, transformation, and analysis. • Strong background in implementing rules-based logic and RAG in a healthcare setting. Knowledge, Skills, Abilities and other Requirements: • Proficiency in programming languages such as Python, R, and SQL. • Experience with data visualization tools such as Tableau, Power BI, or similar. • Familiarity with Snowflake or other cloud-based data platforms. • Knowledge of ETL processes and tools. • Experience with AI and Client techniques to enhance data analysis and RAG implementation. but not limited to SQL, Excel and/or SAAS • Proficient in various data catalog and visualization tools, including but not limited to Tableau, PowerBI, Informatica, and/or Snowflake • Knowledgeable in electronic medical records, preferably EPIC