MedChron is evolving from a medical chronology formatter into a cutting-edge Case Intelligence System. We build AI-driven technology that synthesizes complex medical records, flags clinical patterns, detects critical missing documentation, and generates high-stakes case artifacts that trial attorneys stake their reputations on.
We don't just process documents; we automate clinical and legal reasoning. To ensure our AI outputs are grounded in reality rather than technical "best guesses," we are embedding deep domain expertise directly into our engineering and product loops.
What You'll Do:
Audit AI Outputs: Review AI-generated medical chronologies, gap signals, and summaries to ensure they match real-world clinical and legal reasoning.
Identify Edge Cases: Spot instances where AI outputs are technically coherent but clinically flawed, or where an automated "finding" would be dismissed as noise by an attorney.
Annotate Datasets: Review, tag, and annotate real medical records to create gold-standard "ground truth" datasets for pipeline testing.
Define Pass/Fail Rubrics: Partner with engineering to establish strict, defensible criteria and grading scales for model performance (evals).
Stress-Test Features: Actively "red-team" new model iterations to catch potential errors, hallucinations, and documentation oversights before they ship.
Advise Product & Engineering: Serve as an on-demand domain consultant for Product Managers and Engineers to shorten technical iteration loops.
Map Billing Nuances: Translate the complexities of Explanation of Benefits (EOBs) versus itemized bills and provider-level gap detection into logical rules for developers.
Shape the Feature Roadmap: Provide expert guidance on upcoming high-stakes features, including Missing Documents V2, Treatment Gaps, and automated demand letter artifacts.
Refine Topic Taxonomies: Establish the clinical classification rubrics for our "Smart Summaries" feature, ensuring data is organized exactly how practitioners think.
What You'll Need:
Domain Expertise: 3 to 5+ years of direct, hands-on experience in personal injury case preparation, medical-legal consulting, or clinical documentation review.
Professional Background: Background as a Personal Injury Paralegal, Legal Assistant, Nurse Case Manager, Life Care Planner, or Health Information/Billing Specialist.
Record Mastery: Deep, expert-level familiarity with reviewing medical records, summarizing treatments, and navigating provider documentation standards.
Billing Literacy: Strong understanding of medical billing practices, including itemized statements, EOBs, insurance billing, and CPT codes.
Meticulous Precision: An exceptional eye for detail, with the proven ability to spot missing treatment gaps or subtle clinical anomalies that others miss.
Cross-Disciplinary Communication: Ability to translate complex medical and legal jargon into clear, logical concepts that software engineers can easily understand.
Tech-Fluency: Highly comfortable working with modern digital tools, software platforms, and collaborative, remote project management environments.
Sprint Agility: Proven ability to work autonomously and manage time effectively across flexible, sprint-based contract cycles.
AI Curiosity: A strong interest in legal-tech innovation and a desire to help shape how AI safely automates complex reasoning tasks.
Additional Details:
Flexible, Part-Time Contract: Structured around product sprint cycles (e.g., dedicated blocks of hours for dataset annotation and feature review).
Hours: Anticipated 20-30 hours per week to start, with potential to scale as our feature roadmap expands.
Compensation: Competitive hourly/contract rate commensurate with experience.
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