Ribbon Health

New York, NY

  • Coding principles
    Test-driven development, Always add comments
  • Work/Life Rhythm
    60+ hours/week to change the world, Massive impact == fulfillment
  • Modern Tech Stack
    Microsoft Azure, Google Cloud Code, AWS, PostgreSQL, Presto, HBase, Apache Spark, Hadoop

Our Mission

We strive to make every healthcare decision high quality, cost-effective, and convenient. Ribbon Health is a predictive analytics and data platform for the healthcare industry. Our API provides access to accurate and comprehensive data on doctors, insurance plans, and costs. We are dedicated to powering every healthcare decision to be high-quality, cost-effective, and convenient.  When someone has an app or service powered by Ribbon data, he or she presses a button and immediately sees the best doctor and how much the visit will cost. Our story: Winter 2015 Nate & Nate meet in graduate school while both trying to help family members find care they need. After watching their parents and grandparents go through months of tests, unhelpful referrals, and thousands of dollars spent, they decide to try to help. Fall 2016 HealthWiz is launched to provide patients with the most seamless way to navigate healthcare across checking symptoms, researching conditions, finding doctors, and estimating costs of care. Summer 2017 HealthWiz goes through Y Combinator. While helping clients find doctors, the team discovers the doctor-data-problem first-hand, constantly calling wrong phone numbers, old addresses, out-of-network doctors, and physicians who no longer practice. Winter 2017 Ribbon Health is launched to address the doctor-data problem with the most accurate and comprehensive information on doctors, insurance plans, and costs for healthcare enterprises. Fall 2018 Ribbon data accuracy surpasses best-in-class industry standards at scale.

Tech Stack

We're developing infrastructure to scale data collection, normalization, and modeling efforts to drive a scalable and performant data platform (e.g., build system to quickly deploy new data science models across millions of rows). Our Ribbon API is enterprise-grade across end-user functionality, security, and scalability (e.g., design new endpoints & functionality based on customer requests that preserve backwards compatibility). We're currently designing new sync logic across multiple decentralized data indices to improve customer ability to edit and add new data (e.g., ensure updates from indices flow to core database and properly push relevant data in real-time). Also, we generally run critical independent software engineering projects while also working closely with the engineering, data science, and business teams (e.g., interfacing with our customers’ engineering teams in parallel with our product team). Tools in our stack: EMR, Hadoop, Spark, HBase, Presto, Postgres Scalable systems in the cloud (e.g., AWS, Google Cloud, Azure)

Core Values

1. Run towards hard problems We are motivated by the toughest challenges. We seek out hard problems that have the most impact and solve them to help those who need it most. 2. Put your team first We are a family. We are all happier and healthier when we take care of each other and put each other’s needs ahead of our own. 3. Do what you say We are honest with each other. We are accountable to each other. 4. Stay hungry, keep improving We are humble. We will make mistakes, learn from those mistakes, and be better because of those mistakes. 5. Practice habits of excellence We measure our success by the process it took to get there. We will always do our very best and we are proud of the outcome because of it. 6. Build with empathy We are building the best healthcare experience for our users. When faced with a difficult decision, we do what’s best for people’s lives.

Culture

  • Empathy with customers
  • Always be learning

Team members

  • <15 teammates

Machine Learning Engineer

New York, NY・New Grad・Full Time

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Senior Software Engineer

New York, NY・New Grad・Full Time

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