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nlp data labeling ehr model evaluation medical coding๐ Description
- Define and validate AI/ML model requirements for predicting medical codes.
- Define requirements and expand the Ground Truth data labeling platform.
- Build tools to measure model performance against coding benchmarks and KPIs.
- Partner with ML, DS, Eng, and Coding Quality for accuracy.
- Implement feedback loops to prioritize improvements and production fixes.
- Partner with Commercial teams to measure outcomes and ROI.
๐ฏ Requirements
- AI/ML Product Experience: Proven track record shipping ML-based products, esp. NLP in language models or predictive modeling.
- Infrastructure Mindset: Built internal tools, data labeling platforms, or model evaluation dashboards.
- Clinical Domain Knowledge: Familiarity with medical coding systems, EHR data, or clinical documentation.
- Technical Depth: Deep discussions with Data Scientists on architectures, feature engineering, and data bias.
- Strategic Execution: From raw data to production-ready scalable AI solution.
- Cross-functional Leadership: Collaborating with ML, DS, Eng, and Coding Quality to ensure accuracy.
๐ Benefits
- Health Insurance: 80% coverage for medical and dental, vision included.
- 401(k) after one month from start.
- Flexible PTO policy to relax and rejuvenate.
- 7-week onboarding program to learn about the company and departments.
- Annual performance evaluations and growth opportunities.
- Office Location: Boston Back Bay open-plan workspace.
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