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Legal Nurse Consultant, Medical Chronologies

We are seeking exceptional medical professionals dedicated to upholding the highest level of written medical analyses for injury victims throughout the U.S. to join our Medical Operations team. The Legal Nurse Consultant will ensure that EvenUp’s output is both precise and compelling, and play an integral role in our ongoing product and data science projects by serving as a Subject Matter Expert.

This is a contract position with the potential for full-time employment based on performance. The target rate is $40-$45 per hour based on experience with a 25-40 hours per week minimum commitment. 

What You'll Do:

  • Quality Assurance: Your primary responsibility in this position will be to review our AI-generated Medical Chronologies to ensure the highest levels of quality, accuracy, and clarity for our customers. You will have access to all of the underlying medical documentation and will be expected to leverage your domain expertise to add any pertinent information that may have been excluded and/or remove any information that was included unnecessarily in the initial drafts.  

  • Provide feedback: Work with the management team to identify areas of improvement from both a system output and process perspective. 

  • Stay Informed on Trends: Keep updated with the latest trends in litigation related to medical aspects of personal injury cases, including changes in medical standards, procedures, and relevant common law precedents.

  • Mentor and Guide: Educate and mentor team members on the evolving interplay between law and medicine, especially as it impacts the product output (as needed). 

What We Look For:

  • Extensive Experience in Medical Analysis for Personal Injury: A background of 5+ years in nursing or a related medical field, with significant experience in analyzing and summarizing medical records for personal injury cases

  • Expertise in Medical Documentation: Strong skills in drafting detailed medical summaries, chronologies, and related documents. An understanding of how medical evidence supports personal injury claims

  • Attention to Detail: An unwavering attention to detail in analyzing and presenting medical data and information

  • Comprehensive Understanding of Personal Injury Law: An understanding of how medical information is utilized in personal injury law across various states, including how medical evidence relates to the cognizable damages (and limitations) for such actions

  • Education: Registered Nurse (RN) or similar

About EvenUp:

EvenUp is a venture-backed generative AI startup that ensures injury victims are awarded the full value of their claims, expanding the $100B+ in awards granted to injury victims each year. Every year, the legal system has made it difficult for millions of ordinary people to seek justice, especially for folks without means or who come from underrepresented backgrounds. Our vision is to help these injury victims get the justice they deserve, irrespective of their income, demographics, or the quality of their legal representation.

EvenUp operates across all types of injury cases, from police brutality and child abuse to California wildfires and motor vehicle accidents. Our ML-driven software empowers attorneys to accurately assess the value of these cases by doing a core part of their workflow (legal drafting), enabling them to secure larger settlements in record time. As EvenUp evaluates more cases, our proprietary data grows, enhancing the precision of our predictions and delivering more value to both attorneys and victims alike.


We are one of the fastest growing startups ($0 to $10M in ARR in <2 years) and are funded by some of the best investors in the world, including Signalfire, Bain, and Bessemer, who led our recent $50M Series B.

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CEO of EvenUp
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Rami Karabibar
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EvenUp employs advanced AI technology under a strict zero-day retention policy. Data is deleted immediately after processing, ensuring no long-term storage risks and highlighting our commitment to data security and client privacy.

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FUNDING
SENIORITY LEVEL REQUIREMENT
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TEAM SIZE
No info
EMPLOYMENT TYPE
Contract, hybrid
DATE POSTED
June 16, 2024

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