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Job Description & How to Apply Below
Responsibilities
- Design, construct, and validate complex healthcare data cohorts used for AI model training
- Translate research requirements and customer needs into practical dataset definitions and SQL logic
- Act as a technical partner to Solutions Leads to solve complex data challenges, including multi-source joins and dataset linkage
- Perform data completeness analysis, investigate anomalies, and verify cohort logic results
- Evaluate the feasibility of requested variables and labels against available real-world data sources
- Collaborate with delivery engineers to implement necessary changes to data pipelines and infrastructure
- Develop reusable SQL templates, automated validation checks, and scripts to improve delivery workflows
- Experience working with large, structured healthcare datasets
- Strong SQL and Python skills, including experience writing complex queries and data transformations
- Experience using Claude Code or Codex
- Experience with data validation, exploratory analysis, and performing completeness checks
- Proficiency with structured file formats such as CSV and Parquet
- Ability to translate ambiguous research requirements into concrete, actionable data logic
- Strong communication skills for collaborating with both technical and non-technical stakeholders
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