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Data Engineer for AI and Machine Learning in Healthcare

3 weeks ago

Jamnagar, Gujarat, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 20,00,000

Job Title

We are seeking a highly skilled Data Engineer for AI and Machine Learning in Healthcare

 

This role involves working with large datasets to design, develop, test, and integrate data pipelines that support predictive analytics, risk stratification, fraud detection, and other use cases. The ideal candidate will have experience with healthcare data engineering, data cleaning, normalization, aggregation, and feature extraction.

 

Key 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.
  • 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 data scientists and AI/ML teams 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.

 

Requirements:

  • Strong experience in healthcare data engineering (claims, EHR, clinical datasets).
  • Proficiency in data cleaning, normalization, aggregation, and feature extraction.
  • Knowledge of healthcare standards and coding systems (ICD-10, CPT, SNOMED, HL7, FHIR).
  • Proficiency with SQL, Python, and automation frameworks for data workflows.
  • Hands-on experience integrating data from multiple healthcare systems and vendors.
  • Knowledge of cloud-based solutions, APIs, and enterprise integration platforms.
  • Excellent collaboration skills and ability to partner with AI/ML teams.
  • Strong understanding of data governance, HIPAA compliance, and audit documentation.