AI & Data Science – LLMs, Healthcare Insights

Quantile Health

Data-driven problem solver transforming unstructured data into insights for drug access strategies at Arlyn AI. Leading AI development and deployment at the intersection of healthcare and technology.

Posted 7/17/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $175,000 - $255,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying AI applications, with a strong focus on prompt engineering and transforming unstructured data into production-ready solutions. Collaborates effectively with cross-functional teams to enhance system architecture and operational workflows.

Highest-signal resume keywords

AI Application DevelopmentPrompt EngineeringAdvanced AnalyticsSystem ArchitectureCollaboration Across Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Systems DevelopmentProduction-Ready SolutionsData TransformationQuantitative AnalysisRapid Experimentation

Soft Skills

CollaborationDecision-Making

Tools & Technologies

AI InfrastructureInternal Tools

Certifications & Qualifications

Bachelor’s DegreeMaster’s DegreePhD in Quantitative Field

Industry Keywords

FinanceBiotechTech Startups

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Equity grants in Arlyn AI
Unlimited PTO
Employee benefits package