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Forward-Deployed Data Scientist at Phare Health. Remote Location: New York | Remote. 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 modelsBuild 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. Collaborate with Phare engineers and researchers to improve model training data and feedback loops. Contribute to building Phare’s customer delivery playbook - defining best practices for delivering high-quality AI outputs across diverse client environments. Who You Are. Applied Data Scientist:. 3+ years working in data science, clinical analytics, or ML delivery, in healthcare or other data-rich domains. Strong Technical Toolkit:. Skilled in SQL and Python for data wrangling, analysis, and visualization. Client-Facing:. Comfortable presenting technical insights to both technical and non-technical stakeholders, and collaborating directly with customer teams. Problem Solver:. Able to design pragmatic solutions in ambiguous, messy data environments. Startup Mindset:. Excited to wear multiple hats, move quickly, and help shape how Phare delivers value to partners. Bonus Points. Experience working with EHR, claims, or payer data; familiar with data quality challenges in healthcare. Background in ML model validation, monitoring, or deployment. Experience with healthcare coding, rev cycle operations, or clinical workflows. Exposure to distributed data systems, cloud-based ETL, or MLOps. Why Join Us. Work side-by-side with world-class founders from DeepMind, Google Health, and Stanford. Help build a category-defining company tackling one of the most broken parts of healthcare. Grow into a leadership role as Phare scales, with opportunities to shape how we deploy AI in healthcare. Benefits. Competitive salary (top-of-market depending on seniority, $150-220k) + equity. 401(k) with company match. ICHRA health insurance plan tailored to your needs. Flexible PTO + bonus birthday day off. Hybrid New York HQ, with remote flexibility and “work from anywhere” up to 1-month/year. Collaborative team culture with 3-days/week at SoHo HQ (fully-remote considered on exception), regular outings, and twice-a-year offsite events. Hiring Process. Initial application. Intro call – discuss your background, career goals, and our mission. 2 x Technical interviews – real-world data science challenges, and systems design. References – we ask for two. Culture interview – ways of working and chance to ask questions. Offer