Medical Coder Specialist

Hearst•Carmel, IN

1d•$47,000 - $57,000•Hybrid

About The Position

First Databank (FDB) is seeking a Medical Device Coder in the Quality department. The position researches information published by the FDA, device manufacturers, and other credible sources to generate unbiased, robust medical device content, with an emphasis on HCPCS coding for medical devices. The role is based out of the Carmel office and follows a hybrid work model, with an expectation to work onsite at least three days per week. The coder researches and assigns HCPCS codes, maintains the HCPCS library and related mapping tools, and checks the accuracy and currency of codes through audits, validations, and reviews. The position also updates codes as related classification categories change, evaluates medical device content and categorization, and contacts manufacturers when information is unclear or insufficient for coding. The role follows AHIMA ethical coding standards and official coding guidelines, and keeps current with coding and reimbursement reporting requirements. The position uses approved AI tools to support research, analysis, validation, audits, and workflow efficiency. AI-generated output must be checked against credible sources, official guidance, internal standards, and professional judgment, while complying with data privacy, security policies, ethical coding standards, and human oversight requirements.

Requirements

Minimum of 2–3 years of medical coding experience in a healthcare setting, including outpatient clinics, ambulatory surgical centers (ASCs), home health, or Durable Medical Equipment (DME) settings.
Experience assigning or auditing HCPCS Level II code sections, including A-codes, C-codes, or E-codes.
Experience reviewing or resolving Medicare and Medicaid claim denials involving medical necessity, unlisted HCPCS codes, or Medically Unlikely Edits (MUEs).
Experience researching and applying Medicare Local Coverage Determinations (LCDs) and National Coverage Determinations (NCDs).
Active coding certification from AAPC or AHIMA; relevant credentials include CPC, COC, or CCS.
Ability to research devices, categories, and HCPCS codes to develop a library.
Expertise in oral and written communication and ability to clarify and discuss coding issues with peers.
Ability to multitask and prioritize tasks.
Good written and verbal communication skills.
Attention to detail and strong organizational skills.
Medical terminology and coding knowledge.
Ability to use web-based and computer applications and work with peers in team situations.
Initiative in performing additional tasks.
Ability to use approved AI tools, including ChatGPT Projects and Custom GPTs, for coding research and related work.
Skill in developing structured prompts and reusable AI-assisted workflows.
Ability to validate AI-generated outputs and use AI responsibly in compliance with privacy, security, ethical coding, and human oversight requirements.

Nice To Haves

Previous experience in supply chain management or the medical device industry.

Responsibilities

Research information from manufacturers, CMS, and other sources to assign HCPCS codes to medical device content.
Update and maintain the HCPCS library through detailed research.
Use research to develop and maintain HCPCS mapping and wizard tools.
Provide training to staff members.
Ensure code accuracy through data audits, validations, and reviews.
Update HCPCS codes as changes are made to GMDN and/or UNSPSC categories.
Evaluate the current categorization schema and provide feedback and training to categorization staff.
Evaluate medical device content to ensure HCPCS mappings are accurate.
Follow up with manufacturers when code assignments are not straightforward or data is inadequate, ambiguous, or unclear.
Apply CMS updates to data in a timely manner using maintenance tools.
Ensure codes are accurate, current, and active.
Search for information when coding is complex or unusual.
Follow AHIMA Standards of Ethical Coding and official coding guidelines.
Keep current with and comply with coding guidelines and reimbursement reporting requirements.
Use approved AI tools and structured, reusable AI-assisted workflows to support research, data analysis, content validation, audit review, and coding-related decision making.
Validate AI-generated outputs against credible sources, official coding guidance, internal standards, and professional judgment, while maintaining privacy, security, ethical standards, and human oversight.