
11 - 50 employees
Founded 2020
🏥 Healthcare
💼 Consulting
📦 Logistics
💰 $13.1M Venture Round - Anomaly on 2024-11
Healthcare • Consulting • Logistics
Anomaly is healthcare’s first AI-powered payer management company that provides an AI engine, Smart Response, to decode payer logic, detect payment patterns, and embed payment intelligence into revenue cycle workflows. The platform analyzes hundreds of millions of encounters to predict denials, surface payer-specific behaviors, assist claims correction, and inform contract negotiations so providers and health systems can reduce revenue loss and streamline payments.
🕒 May 5
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11 - 50 employees
Founded 2020
🏥 Healthcare
💼 Consulting
📦 Logistics
💰 $13.1M Venture Round - Anomaly on 2024-11
Healthcare • Consulting • Logistics
Anomaly is healthcare’s first AI-powered payer management company that provides an AI engine, Smart Response, to decode payer logic, detect payment patterns, and embed payment intelligence into revenue cycle workflows. The platform analyzes hundreds of millions of encounters to predict denials, surface payer-specific behaviors, assist claims correction, and inform contract negotiations so providers and health systems can reduce revenue loss and streamline payments.
• Build integrations with healthcare and financial systems • Automate end-to-end data ingestion and delivery pipelines, with a strong focus on observability and data quality • Build GenAI features and chat to solve real problems and build user confidence, backed by rigorous evaluation loops and guardrails • Design high-throughput, low-latency systems where performance is a mission-critical requirement • Be the glue between our PhD-level Data Scientists and Front-end Engineers, taking raw outputs and building the APIs that drive a full, impactful product
• 5+ years of professional software engineering experience • Ability to write idiomatic, testable, and maintainable code in Python, Java, or Scala • A "hacker mindset" — pragmatic, curious, and solution-oriented • Nice to have: Experience building reliable data and ML pipelines using SQL, Spark, or Airflow • Nice to have: Experience building and deploying online machine learning products • Nice to have: Experience developing high-volume, low-latency APIs
• Flexible work arrangements • Professional development
Apply Now🕒 May 4
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