AI-Driven Life Sciences Business Analyst

WinWire

United States

On-site

USD 110,000 - 160,000

Full time

8 days ago
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Job summary

WinWire is seeking an experienced Business Analyst with AI expertise to bridge clinical development and AI product delivery. You will translate science-driven needs into AI-ready requirements and collaborate with Product Managers, AI Engineers, and Data teams to deliver AI-powered clinical research solutions.

The role requires a strong scientific background, experience in pharmaceutical R&D, and the ability to independently drive requirements, UAT, and stakeholder alignment across Agile teams.

Qualifications

  • 8+ years of business analysis experience in pharmaceutical R&D environments
  • Translate ambiguous business needs into structured AI requirements
  • Experience with KPIs, success metrics, and data/statistics
  • UAT planning, stakeholder communication, and test-cycle coordination
  • Strong understanding of clinical development concepts and drug development processes
  • Academic or professional background in life sciences related to clinical research

Responsibilities

  • Translate business needs into AI-ready requirements, including data expectations and model outputs
  • Collaborate with Product Manager, AI Leads, Data Lead to define AI use cases and success criteria
  • Document functional and AI-specific requirements with acceptance criteria
  • Refine requirements, prioritize, and align with stakeholders
  • Lead UAT planning, execution, and test-case development
  • Provide regular status updates on progress, risks, and dependencies

Skills

Clinical development lifecycle
Pharma R&D experience
Requirements gathering
KPIs / data metrics
UAT management
Agile / Scrum

Education

Bachelor's or Master's in Life Sciences

Tools

Jira
Azure DevOps

Job description

WinWire is seeking an experienced Business Analyst with AI expertise to bridge clinical development and AI product delivery. You will translate science-driven needs into AI-ready requirements and collaborate with Product Managers, AI Engineers, and Data teams to deliver AI-powered clinical research solutions.

The role requires a strong scientific background, experience in pharmaceutical R&D, and the ability to independently drive requirements, UAT, and stakeholder alignment across Agile teams.

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