UX Researcher, AI & LLM (Drug Discovery)

About the job UX Researcher, AI & LLM (Drug Discovery)

Type : Contract, W2 only

Duration : 6+ months

Location : New York, NY (Manhattan, onsite)

Pay : $66 / hr-$98 / hr, DOE

Please note that at this time we are unable to sponsor employment authorization (both new and transfer)

A leading global biotech company is seeking an exceptional UX Researcher to join an advanced AI and machine learning team focused on developing agentic frameworks to revolutionize drug discovery. The UX Researcher will act as a bridge between AI development teams and users (world-class scientists and biomedical experts) to ensure internal AI platforms are powerful, intuitive, and seamlessly integrated into complex scientific workflows. Direct experience with Large Language Models (LLMs) and AI agents, combined with a background in biotech, pharma, or a related industry and a proven record of shipping internal software products, is required.

Responsibilities :

• Define AI Product Strategy Through UX Research : Lead end-to-end user research to inform the product roadmap for agents and LLM-based applications. Identify pain points in scientific workflows and uncover new opportunities for AI-driven efficiency and discovery.
• Design and Execute Rigorous Usability Studies for AI Products : Develop and implement specialized user testing methodologies (e.g., contextual inquiries, task-based usability tests) to evaluate LLM-driven interfaces and agentic workflows.
• Operationalize User Feedback for AI Systems : Build and manage a systematic process for gathering, analyzing, and tracking qualitative feedback on models and agents to drive data-informed improvements.
• Uncover Actionable Insights for Agentic Frameworks : Analyze qualitative data to understand how scientists interact with and trust AI outputs; synthesize findings to reveal adoption drivers for complex AI tools.
• Build a User-Testing Infrastructure for Internal AI Tools : Create and maintain reusable testing protocols and recruitment pipelines for internal expert users, elevating research quality and efficiency.
• Collaborate with AI / ML Engineers & Scientists : Translate complex user needs from drug discovery units into clear, actionable product requirements for AI models and systems.
• Communicate with Clarity and Impact : Synthesize diverse data into compelling insights and recommendations; effectively advocate for users to technical and non-technical stakeholders.

Qualifications :

We are an Equal Opportunity Employer and welcome talent across all aspects of background, orientation, origin, and identity in an inclusive and non-discriminatory way. Applicants receive consideration without bias and based solely on the relevant qualifications, talents, skills, experiences, and business needs