Direct message the job poster from Quantile Health Expanding Patient Access to Transformative Medicine @ Quantile Health Quantile Health – AI-Powered Insights for Biotech & Pharma 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 research costs for biotech and pharma companies. Role: AI & Data Science – LLMs & Healthcare Insights We'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 Do 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. Translate complex insights into clear strategies for technical and non-technical teams. Develop frameworks to communicate nuanced research findings effectively. Collaborate with engineering teams to shape data infrastructure & model development. What We’re Looking For PhD in a quantitative field (CS, Data Science, Computational Biology, Stats, etc.) OR Bachelor’s + 2+ years of experience in finance, biotech, or healthcare. Passion for LLMs and their real-world applications. 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. Excellent problem-solving skills & ability to turn data into business impact. Equity grants in Quantile Health Location: Hudson Yards, NYC (on-site 2 days a week) How to Apply? Apply thru: Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Data Infrastructure and Analytics #J-18808-Ljbffr Quantile Health
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