Senior / Staff Data Scientist – AI Engineering
Role summary
Quantile Health is seeking a Senior/Staff Data Scientist to lead their AI Engineering and Data Science team. This role involves leveraging Large Language Models (LLMs) to transform unstructured data into actionable insights for drug launches and access strategies. The position requires leading and mentoring a team of 3-4 data scientists, setting technical direction, managing projects, and hands-on development of scalable, production-ready AI applications at the intersection of AI and healthcare. The ideal candidate will have a strong conceptual thinking ability, a passion for LLMs and real-world AI applications, and a pragmatic, impact-driven mindset. A PhD in a quantitative field with 3+ years of industry experience, or a Bachelor's/Master's with 7+ years, is required, along with at least 1 year of team management experience and hands-on AI application building.
Role: Senior / Staff Data Scientist – AI Engineering
We’re looking for a data-driven problem solver to lead our AI Engineer and Data Science team. You will leverage large language models (LLMs) to transform unstructured data into ontologies and actionable insights that drive drug launches and access strategies. Leading and mentoring a team of 3–4 data scientists, you will set technical direction, manage projects, and remain hands-on in building scalable, production-ready AI applications at the intersection of AI and healthcare.
Quantile Health - AI-Powered Insights for Life Science
Quantile Health is a New York–based, seed-stage AI startup building agentic applications to expand access to transformative medicines and reduce commercial costs for drug innovators.
What You’ll Do
- Lead and deliver agentic LLM applications that drive business impactful business outcome
- Project manage AI initiatives end-to-end, ensuring high-quality, on-time delivery, while mentoring and developing a team of 3–4 data scientists
- Partner with founders to define and drive the product roadmap and technical direction
- Remain hands-on in research, model development, and building production-ready AI systems
- Work closely with the Engineering team to design system architecture, internal tools, and scalable data and model infrastructure
What We’re Looking For
- A strong conceptual thinker who turns complex, ambiguous business challenges into clear, structured data problems
- Passionate about LLMs and real-world AI applications, with a pragmatic, impact-driven mindset
- PhD in a quantitative field (CS, Computational Biology, Statistics, etc.) with 3+ years of industry experience, OR Bachelor’s/Master’s degree with 7+ years of industry experience in finance, biotech, or tech startups
- 1+ year of team management experience
- Hands-on experience building AI applications, including prompt engineering, advanced analytics, and transforming large-scale unstructured data into production-ready solutions
Compensation & Benefits
💰Cash compensation range: $195,000 - $275,000
📈 Equity grants in Quantile Health
🏖 Unlimited PTO
🏥 Employee benefits package
📍 Location: Hudson Yards, NYC (on-site 3 days a week)
✨ We’re building in New York and love having the team together in person. If you’re not already based in the area, we’ll support your relocation so you can join us here.