Hybrid Medical Device Coder: HCPCS & Data Integrity

Hearst Corporation

Carmel (IN)

Hybrid

USD 65,000 - 90,000

Full time

6 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Plan
Paid Holidays

Job summary

First Databank, Inc. (FDB) seek a Medical Device Coder in Carmel, IN, to research FDA and device data, generating unbiased HCPCS content. The role emphasizes accuracy in coding for devices and collaboration with IS customers, with a hybrid onsite expectation.

The ideal candidate has 2–3 years of medical coding, AHIMA/AAPC certification, and comfort using AI tools to improve research and workflow efficiency while maintaining data privacy and ethical standards.

Qualifications

  • Minimum of 2-3 years of medical coding in healthcare settings.
  • Experience with HCPCS Level II codes (A/C/E codes) and denials.
  • Familiar with LCDs/NCDs and Medicare/Medi-Cal billing rules.
  • Active coding certification from AAPC or AHIMA.

Responsibilities

  • Research HCPCS codes for medical device content from multiple sources.
  • Update and maintain HCPCS library and mappings.
  • Validate AI-assisted outputs against official guidance.
  • Provide training and support to staff on coding practices.
  • Ensure codes are current and changes are applied timely.

Skills

Research ability
Oral and written communication
Multitask & prioritization
Attention to detail
Medical terminology & coding
AI tool usage (ChatGPT)
Structured prompts & AI workflows
Compliance & data privacy

Education

AAPC/AHIMA medical coding certification (CPC/COC/CCS)

Tools

ChatGPT
Custom GPTs

Job description

First Databank, Inc. (FDB) seek a Medical Device Coder in Carmel, IN, to research FDA and device data, generating unbiased HCPCS content. The role emphasizes accuracy in coding for devices and collaboration with IS customers, with a hybrid onsite expectation.

The ideal candidate has 2–3 years of medical coding, AHIMA/AAPC certification, and comfort using AI tools to improve research and workflow efficiency while maintaining data privacy and ethical standards.

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