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Healthcare Data Engineer

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Job Summary:

This role involves utilizing expertise in data engineering to drive AI/ML initiatives in the healthcare industry.

Key Responsibilities:
  • Data Preparation and Management
    • Clean, rationalize, normalize, and integrate large healthcare datasets for readiness in AI-driven analytics and automation.
  • Collaboration with Cross-Functional Teams
    • Work closely with data scientists, engineers, and AI teams to deliver high-quality, compliant data pipelines for predictive analytics, risk stratification, fraud detection, and other use cases.
  • Data Quality Assurance and Validation
    • Ensure reliability and accuracy of data through thorough checks and validation processes.
  • Automation and Scripting
    • Implement efficient data handling through automation and scripting techniques.
  • Compliance and Documentation
    • Maintain compliance with HIPAA, data governance, and security standards while documenting data processes, transformations, and metadata thoroughly.

About this Role:

This Healthcare Data Engineer – AI/ML Enablement position requires a skilled professional with experience in data engineering, AI/ML, and collaboration with cross-functional teams. The ideal candidate will have expertise in data preparation and management, as well as strong analytical and problem-solving skills.

Requirements:

To be successful in this role, you will need:

  • A degree in Computer Science, Engineering, or a related field
  • Strong programming skills in languages such as Python, R, or SQL
  • Experience with data engineering tools and technologies
  • Knowledge of AI/ML concepts and applications
  • Excellent communication and collaboration skills
  • Ability to work in a fast-paced environment and prioritize tasks effectively