Senior Data Scientist / Senior AI Engineer

Arlyn AI (Formerly Quantile) is a New York–based, fast-growing stealth AI startup expanding patient access to life-changing medicines while reducing commercial costs for drug innovators.

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.

• Own the end-to-end development and deployment of agentic LLM applications that deliver measurable business impact.

• Design, build, evaluate, and ship production-ready AI systems from prototype to production.

• Partner with founders to define product direction and turn business problems into AI solutions.

• Collaborate with Engineering to build scalable AI infrastructure, system architecture, and internal tools.

• Improve system performance, reliability, and user experience through rapid experimentation and iteration.

• A strong conceptual thinker with deep technical expertise, who enjoys translating complex, ambiguous business challenges into clear, structured data problems.

• Passionate about LLMs and real-world AI applications, with a pragmatic, impact-driven mindset

• Bachelor’s/Master’s degree with 5+ years of industry experience in finance, biotech, or tech startups, Or PhD in a quantitative field (CS, Computational Biology, Statistics, etc.) with 2+ years of industry experience

• Hands-on experience building AI applications, including prompt engineering, advanced analytics, and transforming large-scale unstructured data into production-ready solutions

• Collaborate across Engineering and Data Science teams to lead decision-making on essential system architectures and core operational workflows.

💰Cash compensation range: $175,000 - $255,000
📈 Equity grants in Arlyn AI
🏖 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.