Our mission is to bring the joy back to running a private practice - we’re building an AI powered financial operating system that simplifies financial operations, so providers can do what they do best: focus on patient care.
The healthcare payment system is a complex and inefficient maze - healthcare practices leave $125 billion in revenue uncollected each year, lost in the chaos of fragmented financial data, manual workflows, and opaque payer systems. This financial uncertainty leaves practices struggling to stay afloat, while valuable revenue slips through the cracks.
Joyful Health is building the AI-powered financial operating system for healthcare practices. Our mission is to bring the joy back to running a private practice by simplifying financial operations so providers can focus on patient care. We spent 10 months working as fractional CFOs for a dozen practices, doing this work side by side with providers as we developed our product.
We just closed a funding round led by world-class investors and angels including the founders of MongoDB & KAYAK.
<aside> 🚀 We have an enormous opportunity in front of us. The broken healthcare payment ecosystem impacts practices of all sizes, and the opportunity to make a real difference is massive.
If you’re passionate about empowering medical practices and excited to tackle one of the most important (& challenging!) problems in healthcare, we’d love to meet you.
Apply here: https://jobs.gem.com/joyful-health/am9icG9zdDq21fsfD90lKEk6Td1bsUui
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We’re looking for a talented and ambitious data scientist with expertise in entity alignment and knowledge graphs who’s excited to help solve one of the toughest challenges in healthcare: integrating fragmented data from multiple sources into a cohesive, actionable view. You’ll play a pivotal role in developing robust entity-matching models and constructing knowledge graphs that will empower healthcare practices with a comprehensive understanding of their financial data.
The healthcare ecosystem is highly fragmented, with financial and operational data stored in isolated systems. Integrating and aligning this data to provide clear, actionable insights has been a longstanding challenge in the industry, particularly for small practices. We’re tackling this problem by building a scalable solution that enables healthcare providers to recover lost revenue, better understand their financial health, and streamline operations.
As a founding data scientist in this role, you’ll have a significant impact on our company’s trajectory, working on a complex problem central to our success. This is a fantastic opportunity for someone who wants to tackle ambitious challenges in an early-stage, fast-paced startup environment.
This role is full-time. This role is full-time. We’re looking for candidates based in NYC.