Artificial Intelligence Healthcare Data Specialist

2 days ago

Kollam, Kerala, India beBeeData Full time ₹ 1,55,00,000 - ₹ 2,02,50,000

Healthcare Data Engineer Role Overview:

We are seeking a skilled Healthcare Data Engineer to support the development of artificial intelligence and machine learning initiatives.

The ideal candidate will have experience in advanced data preparation, management, and integration for large healthcare datasets. This includes cleaning, rationalizing, normalizing, and integrating claims, member, provider, and clinical data to ensure readiness for AI-driven analytics and automation.

The role involves collaborating 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.

Key Responsibilities:

  • Design, develop, test, and integrate data solutions to support automated workflows, bots, and AI Agents.
  • 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 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.

Qualifications:

  • Strong experience in healthcare data engineering.
  • 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 (e.g., AWS, Azure, Google Cloud) and APIs for scalable infrastructure.

Benefits:

  • Work on complex AI projects that challenge and inspire.
  • Collaborate with dynamic teams that leverage AI-driven technology to make a positive impact.
  • Participate in profit-sharing model reflecting commitment to respect and integrity for all employees.

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