Architect AI-Driven Healthcare Data Workflows and Innovations

About

Take ownership as a Senior Data Engineer in healthcare, designing AI-native pipelines and enriching data lakes while directly impacting medical research and operational efficiency. In this role, you will curate and evolve a healthcare data lake, collaborating with data scientists and AI engineers to create semantically-rich datasets. Your primary focus will be on building advanced pipelines that automate data workflows and facilitate research-grade analytics. You should be experienced in data governance and observability, ensuring compliance and data integrity throughout the process. Drive innovation in healthcare data engineering, utilizing AI techniques to transform medical research outcomes effectively.

Key Responsibilities

• Architect and extend healthcare data lakes for AI engines
• Design AI-powered pipelines for harmonization and cleaning
• Develop NLP pipelines for entity extraction and normalization
• Experiment with novel data extraction methods from unstructured data
• Deliver analytical products that meet scientific criteria

Requirements

• 3+ years in data engineering within analytics-driven organizations
• Deep experience with healthcare CDMs like OMOP, FHIR
• Fluent in Python and SQL, with NLP expertise
• Knowledge of medical ontologies and inferential statistics
• Experience mentoring engineers and contributing to AI/ML products