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Clinical Data Scientist at Phare Health. Remote Location: New York. About Us. Our mission is to make healthcare reimbursement transparent and fair (/phare), so providers can spend more time caring for patients and less time haggling over costs. We specifically focus on the most complex AI challenges that require novel R&D, with a team that blends AI researchers and engineers with clinicians, and payment experts. Backed by General Catalyst, we’re scaling quickly - join us!. The Role. You will join a tight-knit AI team as a hands-on data scientist and resident expert in clinical text, shipping ML systems into production and pushing forward state of the art. Expect to:. Prototype end-to-end text pipelines - clean and normalise raw EHR notes, choose an architecture, train, and evaluate - at the pace of days not months.. Train transformer models - fine-tune large language models for coding, summarisation, and clinical reasoning, then keep them fresh with continuous-learning loops.. Implement LLM workflows - build retrieval-augmented generation (RAG) and lightweight multi-agent chains that output clear, reference-backed answers.. Explore new datasets - run exploratory data analysis, map content to ICD-10, CPT and flag data gaps before modelling.. Productionise your work - convert research prototypes into reliable services with CI/CD, monitoring, and rollback.. Who we're looking for. 3+ years applying NLP or data-science to clinical (or similarly complex) text.. Proven ability to take a project from EDA → model design → evaluation → production code in Python (SQL, Pandas, modern ML/NLP libraries).. Hands-on experience training transformer models and building RAG or agent-based LLM pipelines.. Familiar with EHR formats and healthcare ontologies (ICD-10, CPT, LOINC, SNOMED).. Track record operating production-grade ML systems with monitoring and uptime targets.. Bonus points. Peer-reviewed publications or open-source contributions in clinical NLP.. Experience with reinforcement-learning methods such as GRPO (or similar policy-optimisation techniques) for model refinement.. Experience in customer-facing roles communicating data science requirements and gathering specs from end users.. Benefits. Top-of-market compensation (salary + equity). Flexible PTO & hybrid culture (SoHo HQ 3 days/wk; exceptional remote considered). Mission-driven, collaborative team. Twice-yearly offsites to align, build, and celebrate.. Hiring Process. Initial application. .. Intro call. : Discuss your background, career goals, and our mission.. 2 x Technical interviews. : A programming or system design exercise focused on real-world data challenges.. Referees:. We ask for 2 referees who can speak to your professional/technical work. Culture interview. : Ways of working, and a chance to ask questions. Offer