Job Location : New York,NY, USA
Quantile Health is a New York-based, seed-stage AI startup on a mission to expand patient access to life-changing medicines while cutting commercial costs for drug innovators
Role: AI & Data Science LLMs & Healthcare InsightsWe're looking for a data-driven problem solver to leverage large language models (LLMs) and transform unstructured data into data ontologies and actionable insights that drive drug launches and access strategies. You'll work at the intersection of AI, data science, and healthcare, helping biotech and pharma companies navigate patient access barriers and optimize commercial decisions.
What You'll DoDesign and implement agentic LLM workflows from the ground up to drive impactful business outcome
Build and optimize data pipelines for processing structured & unstructured data.
Select, evaluate, and fine-tune LLMs for key business applications
Ensure data integrity, accuracy, and usability for analytics & decision-making
Collaborate with engineering teams to shape data infrastructure & model development
What We're Looking ForA strong conceptual thinker who thrives on turning complex, ambiguous business challenges into clear data problems - especially when there's no obvious solution.
Passionate about LLMs and their real-world applications, with a pragmatic, impact-driven mindset -focused on solving the right problems and delivering meaningful results over perfect models.
PhD in a quantitative field (CS, Data Science, Computational Biology, Stats, etc.) OR Bachelor/Master + 2+ years of experience in finance, biotech, or tech startup.
Strong Python skills (SQL is a plus).
Experience in prompt engineering, statistical modeling, and advanced analytics.
Hands-on experience with large datasets & unstructured data transformation.
Cash compensation range: $155,000 - $225,000Equity grants in Quantile HealthUnlimited PTOEmployee benefits package
Location: Hudson Yards, NYC (on-site 2 days a week)
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