Data-Driven Healthcare Professional

1 day ago


Manila, National Capital Region, Philippines beBeeHealthcare Full time ₱18,000 - ₱36,000
Job Title:

Type: Full-Time | Location: Remote

Position Summary:

We are seeking a detail-oriented and analytical professional to join our team remotely. This role focuses on supporting clinical operations through accurate data analysis, specifically involving Hierarchical Condition Categories (HCC) and Risk Adjustment Factor (RAF) scoring.

Key Responsibilities:
  • Analyze clinical data to identify opportunities for accurate HCC coding and RAF optimization
  • Review patient records, claims data, and provider documentation to ensure risk-adjusted coding accuracy
  • Collaborate with coding and clinical teams to support audit processes and data integrity
  • Generate reports and dashboards that support care management, risk adjustment, and quality improvement initiatives
  • Track performance metrics and highlight trends or anomalies in healthcare data sets
  • Maintain documentation and data validation procedures to ensure consistent analysis
Requirements:
  • Minimum of 2 years' experience in U.S. healthcare analytics, medical coding, or risk adjustment
  • Strong knowledge of HCC coding, RAF scoring, and ICD-10 coding standards
  • Experience working with healthcare data sets such as claims, EMR, encounter data
  • Proficient in using tools like Excel, Google Sheets, and data visualization platforms
  • Familiarity with CMS guidelines and risk adjustment methodologies
  • Excellent analytical, organizational, and communication skills
  • Ability to work independently in a remote environment with minimal supervision
Preferred Qualifications:
  • Background in Nursing, Health Information Management, Public Health, or related fields
  • Certification in medical coding is a plus
  • Experience working with U.S. health plans, ACOs, or Medicare Advantage organizations

This role offers the flexibility of remote work and the opportunity to make a measurable impact in improving patient care and data-driven clinical outcomes.


About the Position:

This position requires strong analytical and problem-solving skills, with the ability to interpret complex data sets and identify trends. The ideal candidate will have a solid background in U.S. healthcare data and understand medical coding and risk adjustment models.


How to Apply:

To be considered for this position, please submit your application with your resume and a cover letter outlining your relevant experience and qualifications.



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