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Parallel is building AI-powered healthcare automation. As the Medical Coding Lead for the US market, you will become the coding authority, teaching AI engineers how US inpatient coding works and validating every hospital suggestion for accuracy and compliance.
You will lead the US coding pilots, recruit part-time coders, and collaborate with our France team to scale the US launch in New York.
At Parallel, we build AI agents that help healthcare organizations automate their administrative processes and unlock additional revenue, starting with medical coding.
Today, up to 25% of healthcare spending is lost to manual, repetitive administrative tasks. Legacy software hasn't helped: it has made work slower, more complex and more frustrating for care teams.
We believe AI agents can change this. Our technology combines large language models with system-level automation to do real work inside existing hospital tools. No integration, no disruption.
Our first agent automates coding and frees up time for medical teams to focus on patients.
We launched in 2024 and already have 800+ customers and a team of 30+ people. We are backed by top-tier investors (Index Ventures, Y Combinator, Hexa, Frst, Kima Ventures, Better Angle and the CEO of Mistral AI), and this is just the beginning.
The future of healthcare isn't just digital, it's automated. Come help us build it!
As our Medical Coding Lead for the US market you will be our coding authority and the first coding expert on our founding US team. You will teach our AI engineers how US inpatient coding really works, settle the hard cases, and make sure every suggestion we send to a hospital is accurate and compliant.
Parallel uses AI to take administrative work off hospital teams, starting with inpatient coding. Our agents read the full patient record before billing, find what was documented but not coded, and coders validate every suggestion. We work with around 100 hospitals and clinics in France and are launching in the US in 2027.
Your mission for 2027: make our US coding logic accurate enough that pilot hospitals trust it, and be the person who proves it to them.