Translucent
Healthcare Economics Domain Expert, Applied AI
New York City near Union Square · Full-time
Sponsorship not specified$175k-$250kDetected 54 days ago
PythonSQLMachine LearningAgentic AINegotiationResearch
About the role
- We are looking for a healthcare economist with deep expertise in revenue cycle management, reimbursement economics, payer-provider dynamics, and the financial operations of enterprise healthcare organizations.
- We have incredible product-market fit and demand across diverse customer profiles.
Responsibilities
- Build analytical frameworks for the full revenue cycle: charge capture efficiency, coding accuracy and its financial impact, claims submission and adjudication patterns, denial root cause analysis, and collections performance
Requirements
- Experience analyzing claims data, remittance files, charge masters, or payer contracts to identify financial trends and opportunities
- Ability to define positive outcomes in situations with underspecified success criteria
Nice to have
- Familiarity with SQL, Python, or other data tools
- Experience with value-based care payment models and their impact on revenue cycle operations
- Prior exposure to AI/ML concepts or prompt engineering
- Experience at a high-growth startup
Compensation
- $175,000 - $250,000 with Equity
Benefits
- Develop frameworks for understanding reimbursement mechanics across Medicare (IPPS, OPPS, physician fee schedule), Medicaid, managed care, and commercial payers
- Work closely with our engineering, product, and design teams to translate healthcare economic logic into production code and AI Agents
- Partner directly with customers to understand their revenue cycle pain points, identify financial leakage, and translate complex reimbursement and operational requirements into technical solutions
- 5-10 years of experience in healthcare economics, revenue cycle management, healthcare consulting, or an equivalent function within a health system, medical group, or payer organization
- Deep understanding of healthcare reimbursement: how providers get paid, what drives variation in payment, and where revenue leaks across the cycle
- Familiarity with Medicare and Medicaid reimbursement methodologies (DRGs, APCs, RBRVS, etc.) and commercial contract structures
- Ability to effectively communicate with a variety of internal and external stakeholders and translate complex healthcare economic problems between finance, product, and engineering teams
- Deep intellectual curiosity and eagerness to learn across domains, particularly at the intersection of healthcare economics and AI
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