Data Scientist
: Job Details :

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 visualizations tools, including but not limited to Tableau, PowerBI, Informatica, and/or Snowflake Knowledgeable in electronic medical records, preferably EPIC