About the job
Discover Anomaly
Established in 2020, Anomaly harnesses the power of AI and healthcare transaction data to unravel the complexities of payer behavior, bridging the knowledge gap between healthcare providers and payers. Our innovative AI engine, Smart Response, processes hundreds of millions of healthcare encounters in real-time to identify evolving payer rules and denial trends. By adapting continuously to payer logic, it empowers providers to foresee denials, recover lost revenue, and ensure payer accountability.
Our Product Suite
Anomaly offers a comprehensive range of machine learning and analytics products aimed at revealing payment patterns from health insurance companies. Our key offerings include:
Detect - a web-based product designed to unveil newly identified insurance payment behaviors through time-series analysis.
Predict - a high-performance API for predicting claim denials powered by machine learning, featuring configuration and real-time monitoring through a web frontend.
Recover - a data-driven tool that prioritizes denied accounts to assist clients in recovery efforts, utilizing algorithmic rankings and tailored action suggestions aimed at reversing high-value denials.
Your Role
As a Client Solutions Engineer at Anomaly, you will serve as a crucial link between client-facing teams and engineering, rapidly developing analytics and software tools that deliver immediate value to our clients, including major health systems and laboratory clients. Collaborating with our outstanding data science and engineering teams, you will create cutting-edge software solutions and closely partner with sales, growth, and client teams to provide actionable insights and facilitate implementation. This position is ideal for someone adept at discerning whether challenges are best tackled through enhanced communication, deeper analytics, or innovative software solutions.
Key Responsibilities
Design and develop tools and analytics to address distinct client challenges.
Collaborate effectively with engineering, sales, and client-facing teams to deliver impactful solutions.
Engage with clients to gain insights into their workflows and needs, translating these into product enhancements.
Provide valuable feedback to inform product roadmap and technical strategy.
