Our goal is to redefine IT staffing by embracing diversity and inclusion, connecting clients with exceptional and skilled professionals who bring innovative solutions while fostering an environment where every individual feels valued and empowered to thrive.
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:
- 3-5+ years conducting UX research and usability testing with complex, expert-facing systems or internal tools.
- 3-5+ years in qualitative and quantitative research methods (generative/usability studies, data analysis, A/B testing).
- Experience with AI products, specifically Large Language Models (LLMs) and AI agents.
- Hands-on experience with LLM-based applications and standardized protocols like MCP (Model Context Protocol).
- Experience using UserTesting, Contentsquare, or similar usability platforms.
- Direct experience shipping internal software, tools, or products within biotech, pharma, or related industries.
- Experience collaborating directly with SMEs and stakeholders on internal tools.
- Proven ability to build and scale a user research practice, including recruitment, testing, and knowledge management.
- Strong analytical and synthesis skills; ability to distill ambiguous qualitative data into clear, actionable insights.
- Ability to connect user insights to product strategy, roadmap, and business impact.
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