Remote Pediatric Coder – PICU & Neonatology

UCSF Health, AG

San Francisco (CA)

Remote

USD 70,000 - 87,000

Full time

4 days ago
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Job summary

UCSF is seeking a Patient Record Abstractor (Medical Coder) for its Faculty Practice Revenue Management Operations. This fully remote role supports coding for physician-based services across UCSF locations and affiliated clinics.

The position emphasizes accuracy, adherence to confidentiality, and collaboration with clinicians and staff to maintain data quality and compliant coding practices.

Qualifications

  • 2–5 years of professional fee/revenue cycle coding experience
  • Experience in PICU and/or Neonatology coding
  • Experience with pediatric E/M and procedure coding
  • Knowledge CPT/ICD-10 coding conventions and clinical documentation requirements
  • Knowledge of payer coding and billing standards
  • Healthcare experience
  • Ability to collaborate with clinical and business partners and complete UCSF systems training

Responsibilities

  • Work in moderate work queues daily as defined by UCSF leadership
  • Maintain or exceed a 95% accuracy rate
  • Code intermediate procedures/accounts requiring advanced knowledge in charge capture and revenue cycle
  • Resolve claims edits to ensure correct coding of services
  • Audit data input to support revenue cycle management
  • Review coding queues and respond to payor inquiries as assigned
  • Run reports related to assigned charges and missing charge reports
  • Analyze charge integrity and reconciliation under supervision

Skills

CPT coding
ICD-10-CM
HCPCS coding
Revenue cycle
Pediatric coding

Education

Medical coding certification (CPC/CCS-P/CCS/CCOA/etc.)

Tools

Epic
APeX PB

Job description

UCSF is seeking a Patient Record Abstractor (Medical Coder) for its Faculty Practice Revenue Management Operations. This fully remote role supports coding for physician-based services across UCSF locations and affiliated clinics.

The position emphasizes accuracy, adherence to confidentiality, and collaboration with clinicians and staff to maintain data quality and compliant coding practices.

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