Clinical Strategy: Medical Coding Specialist

Commure + Athelas

102d

About The Position

At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare.

Requirements

• AAPC's CPC (Certified Professional Coder) for general coding and/or the AHIMA's CCS (Certified Coding Specialist) for inpatient and outpatient work.
• 3+ years of professional experience in medical coding (e.g., ICD-10, CPT, HCPCS), such as coding audits, billing, or EHR management.
• 1+ years of experience working with healthcare technology, such as EHR platforms (e.g., Epic, Cerner, Solventum) or other clinical data systems.
• Proven ability to translate clinical and coding feedback into process or system improvements, ideally involving AI or technology solutions.
• Proficiency in medical coding systems (e.g., ICD-10, CPT, HCPCS) and familiarity with clinical data standards (e.g., HL7, FHIR).
• Experience with data analysis tools (e.g., Excel, SQL) for processing clinical and coding datasets.
• Strong analytical and problem-solving skills, effective communication to collaborate with clinical and technical teams, and a data-driven approach to decision-making.

Nice To Haves

• Certification in medical coding (e.g., CPC, CCS); exposure to AI-driven healthcare applications; ability to thrive in a collaborative, fast-paced environment.
• Basic familiarity with AI tools or natural language processing concepts (e.g., prompt engineering) is a plus but not required.

Responsibilities

• Develop, test, and refine prompts for AI models to ensure high accuracy in clinical and medical coding applications, aligning with coding standards (e.g., ICD-10, CPT, HCPCS) and clinical workflows.
• Collaborate with clinicians, medical coders, and stakeholders to gather feedback on AI model outputs, coding accuracy, and clinical relevance; convert insights into effective prompt improvements.
• Design and curate high-quality datasets from clinical and coding data (e.g., EHR records, billing codes) to benchmark AI model performance, ensuring datasets are representative, accurate, and aligned with clinical and coding standards.
• Analyze clinical and coding datasets (e.g., EHR data, billing codes, gold standard) and model performance metrics to identify areas for prompt refinement; use data to drive iterative improvements in AI interactions.
• Work with healthcare technology platforms (e.g., EHR systems like Epic, Cerner) to ensure prompts are compatible with existing systems and support clinical and coding workflows.
• Partner with clinicians, coders, data scientists, and technical teams to align prompt strategies with clinical, coding, and technological needs.
• Evaluate prompt effectiveness using KPIs, coding accuracy (e.g., correct application of ICD-10/CPT codes), and clinical outcomes; iterate on prompt designs to enhance model reliability and usability.
• Document prompt strategies, testing results, and coding/clinical rationales; prepare clear reports or presentations for stakeholders to communicate progress and impact.
• Stay informed on updates in medical coding standards, AI, natural language processing, and healthcare technology to incorporate relevant advancements into prompt design.

What This Job Offers

• Number of Employees: 251-500 employees