Forward-Deployed Data Scientist

About Phare Health

Phare Health is on a mission to fundamentally reimagine healthcare payments. Founded by former leaders from DeepMind and Google Health and backed by General Catalyst, we're building the first comprehensive platform that restores trust and fairness to healthcare payments - bringing clarity, transparency, and equity to the complex interactions between payers and providers. This is a rare opportunity to join an ambitious, mission-driven team at the earliest stage.

The Role

We're looking for a Forward Deployed Data Scientist to partner directly with healthcare clients and bring messy real-world data into Phare's AI platform. You'll translate raw EHR, claims, and payer data into structured, reliable inputs for our models, ensuring high-fidelity outcomes that drive clinical and financial impact.

This role sits at the intersection of data science, client delivery, and product . You'll collaborate with clinicians, revenue cycle leaders, and Phare's internal engineering and research teams to validate data quality, deliver insights, and help our partners succeed.

While there is not regular travel planned for this role, expect that ad-hoc travel needs could arise in the future, and expect to work virtually with customers on a regular basis as an embedded member of their teams.

What You'll Do

• Partner with client stakeholders (clinical, rev cycle, IT) to validate outputs, troubleshoot issues, and ensure adoption of Phare's product suite into their existing workflows
• Translate messy, heterogeneous healthcare data into structured, usable inputs for Phare's AI models
• Build and refine data pipelines and validation checks to ensure accuracy and reproducibility at scale
• Develop analyses and dashboards that surface insights for clients and internal teams
• Contribute to building Phare's customer delivery playbook - defining best practices for delivering high-quality AI outputs across diverse client environments

Who You Are

Bonus Points

Why Join Us

Benefits

Hiring Process