Remote GI & Nephrology Medical Coder

University of California, San Francisco; San Francisco (CA); On-site; USD 60,000 - 90,000; Full time

Job summary

University of California, San Francisco is seeking a Patient Records Abstractor to serve as a Medical Coder for its physician practices. You will review patient records, discharge summaries, operative reports and other documentation to assign standardized codes for diagnoses, procedures and services, ensuring compliant and accurate coding for reimbursement and data quality.

The role is fully remote off-site with a 3-month employment duration, requiring collaboration with clinicians, coders, and

Qualifications

• 2–5 years professional fee/revenue cycle coding experience.
• Experience coding gastroenterology procedures.
• Knowledge CPT, ICD-10 coding conventions, and clinical documentation requirements.
• Familiarity with payer coding and billing standards.

Responsibilities

• Handle mid-level work queues daily as defined by UCSF leadership.
• Maintain 95% accuracy rate and productivity standards.
• Collaborate with divisions to ensure revenue cycle compliance.
• Code intermediate procedures requiring advanced charge capture knowledge.
• Review edits and fix billing issues to support timely claims.
• Communicate documentation updates with clinicians.
• Run reports on charge capture and workflow throughput.
• Audit data input and support process improvements.

Skills

CPT coding

ICD-10-CM coding

HCPCS coding

Medical terminology

Interdepartmental collaboration

Tools

Epic

APeX

Job description

University of California, San Francisco is seeking a Patient Records Abstractor to serve as a Medical Coder for its physician practices. You will review patient records, discharge summaries, operative reports and other documentation to assign standardized codes for diagnoses, procedures and services, ensuring compliant and accurate coding for reimbursement and data quality.

The role is fully remote off-site with a 3-month employment duration, requiring collaboration with clinicians, coders, and