Data Scientist

3 days ago


ChesterleStreet, Durham, United Kingdom Thought storm Full time

About Thought Storm

Thought Storm is a leading healthcare analytics company that leverages cutting-edge technology to improve patient outcomes and clinical workflows.

Job Summary

We are seeking a highly skilled Data Scientist to join our team and play a critical role in leveraging Snowflake's data platform to accelerate the adoption of AI in healthcare projects.

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 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 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.

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 ML 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, Power BI, Informatica, and/or Snowflake.
  • Knowledgeable in electronic medical records, preferably Epic.

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