Bluespine-Payment Accuracy and Concept Lead (AI-Driven)
Team8 · United States · US
Health Tech
Remote
physician
Nurse
Demand80
Career growth75
Healthcare fit75
Remote potential80
5-year outlook
Payment integrity and healthcare auditing roles are likely to see steady demand as payers invest in AI-driven error detection; compensation should remain competitive for nurses with coding and auditing expertise, though exact figures vary by location and company stage.
Clinical license
Required
Applicant reach
narrow
Seniority
lead
Employment type
full-time
Date found
2026-10-03
Intelligence details
Flexible work details
- Side income
- Classified as side-income friendly
- Engagement type
- Contract
- Hours
- Variable hours
- Eligible countries
- United States
- License jurisdiction
- US
- Profession fit
- physician, Nurse
- Rate period
- Annual
Why this was classified this way
- contract
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth applying for nurses with strong medical coding, claims, and auditing backgrounds who want a non-clinical health-tech role; less suitable for clinicians without coding or audit experience.
Who should apply
Registered Nurses with experience in medical coding, claims auditing, utilization review, payment integrity, or payer/provider consulting.
CV angle
Frame your RN experience around medical coding, DRG/CPT/HCPCS knowledge, claims adjudication, audit findings, and any cost-savings or error-detection outcomes; emphasize collaboration with data, engineering, and coding teams.
Skills to highlight
- Medical Coding (CPT/HCPCS/DRG)
- Claims Adjudication
- Medical Billing Auditing
- Reimbursement Methodologies
- Health Information Management
- Fraud/Waste/Abuse Detection
- Payer/Provider Contracting
- Cross-functional Collaboration
Role summary
Lead the creation and refinement of AI-driven audit concepts to detect medical billing errors and fraudulent claims for commercial payers, working with coding, data science, and engineering teams.
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