Risk Adjustment QA Coder
Keebler Health
Software Engineering, Quality Assurance
United States
Posted on Oct 7, 2025
About Keebler Health
Keebler Health is the leading AI engine harnessing unstructured data to power Value-Based Care. Our mission is to help risk-bearing healthcare organizations thrive in value-based arrangements by unlocking the full power of their data. We empower leading primary care groups, ACOs, and health plans to act on real-time insights that improve outcomes, reduce costs, and fuel sustainable growth.
We're a fast-moving, high-performing team, and we’re looking for people who share our bias toward speed, urgency, and excellence. As a member of the team, you won’t just "do what you're told" or stay in your lane—you’ll shape critical systems, innovate quickly, and set a high bar for a product that supports the future of U.S. healthcare.
We’re looking for a Risk Adjustment QA Coder to ensure the highest standards of accuracy in coding and documentation. In this role, you’ll apply your expertise across chart reviews, diagnostic validation, and compliance checks to safeguard quality at every step. You’ll also partner with our data science, engineering and product teams to make our platform more precise and reliable over time.
What You’ll Do
Keebler Health is the leading AI engine harnessing unstructured data to power Value-Based Care. Our mission is to help risk-bearing healthcare organizations thrive in value-based arrangements by unlocking the full power of their data. We empower leading primary care groups, ACOs, and health plans to act on real-time insights that improve outcomes, reduce costs, and fuel sustainable growth.
We're a fast-moving, high-performing team, and we’re looking for people who share our bias toward speed, urgency, and excellence. As a member of the team, you won’t just "do what you're told" or stay in your lane—you’ll shape critical systems, innovate quickly, and set a high bar for a product that supports the future of U.S. healthcare.
We’re looking for a Risk Adjustment QA Coder to ensure the highest standards of accuracy in coding and documentation. In this role, you’ll apply your expertise across chart reviews, diagnostic validation, and compliance checks to safeguard quality at every step. You’ll also partner with our data science, engineering and product teams to make our platform more precise and reliable over time.
What You’ll Do
- Conduct pre-visit chart reviews to confirm documentation is complete and supports accurate coding
- Validate post-visit recommendations generated by our AI, ensuring clinical alignment and precision.
- Assign ICD-10-CM and CPT codes with accuracy and consistency, following established risk adjustment guidelines.
- Identify coding discrepancies and provide structured feedback to enhance model performance and UI clarity.
- Support internal audits and compliance processes to maintain rigorous quality standards.
- Continuously track coding updates and regulatory changes to keep practices current and exact.
- Certification as a CPC, CCS, CRC, or equivalent credential preferred.
- Experience in risk adjustment coding with a track record of accuracy and reliability.
- Deep understanding of clinical documentation and medical terminology.
- Exceptional attention to detail with strong analytical skills.
- Clear communicator with a collaborative mindset, especially in cross-functional work.
- Skilled in EMRs and coding software, with comfort adopting new tools to improve precision.
- Shape the quality standards of AI-powered risk adjustment.
- Join a team driven by accuracy, integrity, and impact.
- Competitive compensation and benefits package.
- Fully remote, flexible work environment.
- Experience in the healthcare technology industry, preferably in a software development environment.
- Deep understanding of the regulatory environment affecting healthcare compliance (HIPAA, etc.)
- Strong leadership skills with the ability to motivate and guide a diverse team.
- Excellent communication skills, capable of effectively articulating complex medical and technical information to a variety of stakeholders.