Clinical Data Scientist
Phare HealthAbout Us
Our mission is to make healthcare reimbursement fair and transparent, 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, building products that are fit for purpose in healthcare. We are backed by some of the top healthcare investors and growing fast. Join us!
The Role
As a Clinical Data Scientist, you'll be an integral part of our AI team while collaborating closely with Product and end-users to advance the frontier of medical language models. You'll use your deep EHR expertise to design and build information retrieval pipelines infused with domain knowledge.
Key Responsibilities
Build & Optimize AI Pipelines: Work with large-scale EHR datasets on information retrieval and reasoning problems. Finetune language models, train other transformer-based models, design RAG pipelines and leverage traditional NLP methods where appropriate. Push forward the state of the art as a core part of the AI R&D team.
AI x Product Bridge: Leverage the feedback from end-users to optimize AI performance and design scalable approaches for continuous learning.
Partner Configuration & Monitoring: Characterize and onboard new partner datasets. Monitor system performance over time.
Research Leadership: Stay up-to-date with the latest research in clinical NLP and healthcare data science, and integrate best practices into ongoing projects.
About You
Technical Expertise
Masters or PhD in Biomedical Informatics, Data Science, Computer Science (or equivalent experience).
2+ years of relevant work experience.
Strong familiarity with clinical NLP methods and healthcare ontologies such as ICD, CPT, LOINC, SNOMED.
Hands-on experience with LLMs and RAG pipelines.
Proficiency in Python, R, SQL, and machine learning libraries; ability to reproduce NLP/ML architectures in PyTorch.
Startup Mindset
Comfortable with ambiguity and rapid iteration.
Driven to take ownership of projects and deliver impactful outcomes.
Benefits
Competitive compensation: Top-of-market salary plus equity.
Flexible PTO: Generous vacation policy and remote-friendly culture.
Team culture: Regular team-building events, a collaborative atmosphere, and mission-driven work.
Remote options
We are ideally seeking candidates based in NYC, willing to come into the SoHo office at least 3 days per week. However, we're willing to consider remote options for exceptional candidates.
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