Anomaly is enabling fast, accurate healthcare payments—reducing healthcare costs and complexity.
Over $300B is lost every year to avoidable denials and payment errors, impacting the affordability of healthcare. We’re partnering with the largest healthcare companies, including providers and payers, to build novel technology that reduces friction in healthcare payments. Smart Response uses AI to predict and prevent payment errors before they occur. This solution is powered by our claim prediction engine, which analyzes billions of transactions to predict claim denials and reasons with over 97% precision. Instant Pay (coming soon) will further streamline payments by enabling providers to immediately get paid at claim submission. Founded in 2020, we recently announced $17M in Series A and seed funding led by Redesign Health, RRE, and other top venture investors. Our fast-growing team brings together top engineers and healthcare experts committed to making healthcare more efficient and affordable.
Our engineering blog includes more info on the problem we're solving and large datasets we work with.
As an Applied Machine Learning Engineer, you will play a key role in building the prediction engine that powers Anomaly's products to make healthcare payments more efficient. This includes executing cutting-edge ML techniques; training and testing models on hundreds of millions of data-points; and helping build-out a state-of-the-art human-in-the-loop ML infrastructure.
In this role, you will closely collaborate with other data scientists, members of the platform engineering term, and payments domain experts as we build products to streamline healthcare payments and reduce cost and complexity.
You will report directly to the Head of Data Science. The role is open to fully remote candidates who are US-based, with an expectation of occasional travel to our NYC headquarters.
Headquartered in NYC with a strong remote team, Anomaly brings together a diverse group deeply committed to our mission to bring streamline healthcare. Data scientists, engineers, clinicians, and more work together to realize a future where healthcare payments flow with precision. We live by our values, which help us accomplish more and create a workplace we love.