Senior Applied Scientist, Agentic AI

Arlyn AI; New York (NY); On-site; USD 175,000 - 255,000; Full time

Benefits offered by this job

Relocation support

Unlimited PTO

Equity grants

Employee benefits package

Job summary

Arlyn AI, a New York-based AI startup, seeks a Senior Applied Scientist for Agentic AI to transform unstructured data into data ontologies and actionable insights that drive drug launches and access strategies.

You will own end-to-end development of agentic LLM applications, collaborate with founders to steer product direction, and work with Engineering on scalable AI infrastructure and core workflows. This role is on-site in NYC with relocation support.

Qualifications

• Strong conceptual thinker with ability to translate complex business challenges into data problems.
• Hands-on experience building AI applications, including prompt engineering and analytics.
• Experience in finance, biotech, or tech startups with 5+ years or PhD with 2+ years of experience.

Responsibilities

• Own end-to-end development and deployment of agentic LLM applications delivering 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.

Skills

LLMs expertise

Prompt engineering

Production-ready AI systems

Data problem solving

Education

Bachelor's/Master's degree

PhD in CS/Quantitative field

Job description

Arlyn AI - AI-Powered Insights for Life Science

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.

Senior Applied Scientist, Agentic AI

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

• 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.

What We're Looking For

• 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.

Compensation & Benefits

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.