Our client is currently seeking applicants for the position of Data Scientist in New York, NY.

Below are the details of this exciting opportunity:

Position Details:

• Role: Data Scientists
• Duration: 24 months
• No layers: No H1B, OPT

Key Responsibilities:

• Data Handling: Extract, clean, and analyze large datasets from Epic EMR and other healthcare data sources.
• Data Pipeline Development: Develop and maintain data pipelines to ensure the accurate and timely flow of data.
• Data Quality: Perform data validation and ensure data quality and integrity.
• Rules-Based Logic Implementation:
• 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 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.

Mandatory Qualifications:

• Design and implement predictive models using various machine learning techniques, including both supervised and unsupervised 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.
• 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 ML techniques to enhance data analysis and RAG implementation.
• Proficient in various data catalog and visualization tools, including but not limited to Tableau, Power BI, Informatica, and Snowflake.
• Knowledgeable in electronic medical records, preferably EPIC.