Remote ML Engineer for Healthcare Billing & Reimbursement

Clarify AI

United States

Hybrid

USD 120,000 - 180,000

Full time

13 hours ago
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Job summary

Clarify AI is seeking a Machine Learning Engineer to transform the medical billing and reimbursement workflow. You will build and deploy models that detect billing discrepancies, optimize claims processing, and improve reimbursement accuracy using structured and unstructured healthcare data.

You will develop NLP solutions for medical codes, ensure real-time processing, and maintain HIPAA compliance while collaborating with cross-functional teams to integrate ML into production systems.

Qualifications

  • 3+ years of experience in machine learning, AI, or data science with a focus on healthcare applications.
  • Experience with healthcare data (claims data, medical records) and NLP for billing, coding, or clinical processing.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for scalable ML.
  • Strong programming skills in Python and ML frameworks (TensorFlow, PyTorch).
  • Knowledge of healthcare regulations (HIPAA) and standards like FHIR/HL7.

Responsibilities

  • Develop and deploy ML models to identify billing discrepancies, optimize claims processing, and improve reimbursement accuracy.
  • Work with structured and unstructured healthcare data to build robust models.
  • Build and refine NLP models for medical codes and automate claim validation.
  • Optimize algorithms for scalability and real-time processing of medical claims.
  • Ensure compliance with HIPAA and healthcare standards; collaborate with teams to integrate ML into production systems.

Skills

Python
Healthcare data experience
NLP
Cloud platforms
HIPAA knowledge

Education

Bachelor's or Master's in CS/DS/AI

Tools

TensorFlow
PyTorch
Hugging Face

Job description

Clarify AI is seeking a Machine Learning Engineer to transform the medical billing and reimbursement workflow. You will build and deploy models that detect billing discrepancies, optimize claims processing, and improve reimbursement accuracy using structured and unstructured healthcare data.

You will develop NLP solutions for medical codes, ensure real-time processing, and maintain HIPAA compliance while collaborating with cross-functional teams to integrate ML into production systems.

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