Data Scientist

What you are looking for:

• EPIC experience
• Rules based logic (RAG (RetrievalAugmented Generation) Implementation (Must ask the consultant about this..probably wont be listed on resume already)
• Healthcare/Clinical data scientist w/languages (like SAS R language or SQL)
• Snowflake or other cloud experience
• all these above are required.

Person can work 100% anywhere in the US working EST time zone.

Location:

50/55 Water Street NY NY 10020.

Remote; Preference located in EST if possible

Duration:

Temp

Must Haves:

• Looking to hire a highly skilled & motivated Data Scientist with an expertise in Epic EMR. The candidate will be playing a critical role in leveraging Snowflakes data platform to accelerate the adoption of AI in H&H projects.
• This role involves implementing rulesbased logic and creating structured data models for RetrievalAugmented Generation (RAG) to support decisionmaking and improve operational efficiency and clinical outcomes.
• Ideal candidate needs to have solid experience working as a Data Scientist within Healthcare specifically with Epic strong experience in implementing rulesbased logic and RAG within a healthcare setting experience working with data visualization tools (Tableau PowerBI or something similiar) experience with AI & ML techniques to enhance data analysis and RAG implementation but not limited to SQL Excel and/or SAAS along with experience working with Snowflake (cloudbased data platform).
• Will be working remotely no need to be local.

Description:

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 RulesBased Logic:
Develop and implement rulesbased 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 rulesbased logic.
RAG (RetrievalAugmented 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 crossfunctional teams including data engineers developers and healthcare professionals to understand project requirements and deliver datadriven solutions.
Communicate complex analytical results and insights to nontechnical 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
Bachelors or Masters 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 rulesbased 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 cloudbased data platforms.
Knowledge of ETL processes and tools.
Experience with AI and ML 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