
Data Scientist
7 days ago
We are seeking a skilled Healthcare Data Engineer to support our organization's AI/ML initiatives through advanced data preparation and management.
- This role involves cleaning, rationalizing, normalizing, and integrating large healthcare datasets (claims, member, provider, clinical data) to ensure readiness for AI-driven analytics and automation.
You will collaborate with cross-functional teams, including data scientists, engineers, and AI experts, to deliver high-quality, compliant data pipelines for predictive analytics, risk stratification, fraud detection, and other use cases.
Your Responsibilities- Perform data cleaning: identify and resolve errors, inconsistencies, duplicates, and missing values.
- Conduct data rationalization and normalization to align with healthcare data standards and structures (ICD-10, CPT, SNOMED).
- Aggregate and consolidate datasets from multiple systems (EHRs, claims, third-party vendors).
- Execute data extraction workflows to generate AI-ready features.
- Conduct data quality assurance and validation checks to ensure reliability and accuracy.
- Collaborate with stakeholders to align data preparation with project goals.
- Implement automation and scripting for efficient data handling.
- Maintain thorough documentation of data processes, transformations, and metadata.
- Ensure compliance with HIPAA, data governance, and security standards.
This position plays a critical role in driving business outcomes through data-driven insights. You will have the opportunity to work on complex AI projects that challenge and inspire, meeting high expectations while contributing to a dynamic team.
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