ABOUT THE ROLE

The Senior Health Data Scientist will play a crucial role in Cardiac AI, a research program focused on developing data resources, analytics, and tools to combat cardiovascular disease. The role involves designing, developing, optimizing, automating, documenting, and managing data operations, specifically processing Electronic Medical Records (EMR) in a secure cloud environment. The scientist will collaborate with data scientists, cardiologists, neurologists, health IT teams, and AWS engineers to support Cardiac AI’s mission to use AI-driven insights for improving cardiovascular health outcomes.
The role reports to the technical lead of Cardiac AI.

THE SUCCESSFUL CANDIDATE WILL HAVE DEMONSTRATED EXPERIENCE IN AND BE RESPONSIBLE FOR:

• Develop and oversee the development and maintenance of Python scripts to merge data extracts from multiple sources, ensuring data consistency, accuracy, and integrity. Manage and test the AI models for the de-identification of notes, and maintain an identifier registry and opt-out process.
• Develop and oversee the development and maintenance of SQL scripts to extract and pre-process relevant Electronic Medical Record data to provide a research-ready health data repository. This may include conversion and updating of existing scripts from ‘Cerner CCL’ language to ‘Snowflake SQL’.
• Identify areas of improvement and provide the leadership needed to maintain the efficiency and effectiveness of the data processing. Lead initiatives to redesign and enhance processes to improve scalability, reliability, and performance. Collaborate with cross-functional teams to implement best practices, promote a culture of continuous improvement, and ensure the timely delivery of high-quality data outputs.
• Engage with AWS engineers and other stakeholders to ensure the quality and accuracy of the automated Cardiac AI data pipeline.
• Prepare and maintain complex relevant documentation of AWS Cardiac AI cloud workspaces to enable ongoing management of the data pipeline processes.