Business Analyst AI / Data Statics

WinWire is seeking a Business Analyst with AI experience to support life sciences, clinical research, and drug development initiatives. The role translates scientific and business needs into AI-ready requirements, partners with product, data, and engineering teams, and leads requirements documentation and user acceptance testing for AI-powered solutions.

Responsibilities:

• Translate business needs into AI-ready requirements - Input data expectations, Model outputs (predictions, insights, recommendations) and User interaction patterns (e.g., workflows, prompts, dashboards)
• Individual contributor partner with Product Manager, Business Lead, AI Leads, and Data Lead to define AI use cases, including problem framing, success criteria, and measurable outcomes
• Apply foundational knowledge of clinical research and drug development to ensure AI use cases, requirements, and acceptance criteria accurately reflect scientific intent and business objectives
• Document user, functional and AI-specific requirements including data inputs, model output, user interaction workflows with acceptance criteria aligned to business outcomes and system behavior
• Leads requirements refinement, including current/future state analysis, requirements documentation, prioritization, feasibility alignment and stakeholder alignment; Act as the primary bridge between “what’s needed” (business) and “what’s possible” (technical) to ensure stakeholder alignment
• Owns User Acceptance Testing planning and execution; Partners with Testing team to ensure requirements are testable and the solution is ready for release; Strong interpersonal skills to build and maintain productive relationships with team members; Communicate effectively with internal and customer stakeholders
• Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
• Update and maintain user stories and acceptance criteria in Jira/ADO; Author formal User Requirements Specification (URS)/Functional Requirements Specification (FRS), when required
• Partners with testing teams to ensure requirements are clear, unambiguous, and testable; Produce current state and future state artifacts (process flows, data flows, impact summaries) as required to support solution design
• Lead or contribute to data specifications, source-to-target mappings, and AI input/output definitions in partnership with Data and AI teams
• Develop User Acceptance Test (UAT) Plan, scenarios, and test cases aligned to approved requirements
• Lead UAT, including coordination of test cycles, defect logging, and retesting
• Produce UAT test summary report supporting business acceptance and release readiness
• Provide regular status updates covering progress, risks, issues, and dependencies
• Document decisions, assumptions, and clarifications related to contracted scope

Requirements:

• Strong understanding of clinical development lifecycle and pharmaceutical development processes
• 8+ years of excellent business analysis and requirements gathering skills and working within pharmaceutical R&D organizations
• Ability to convert ambiguous business problems into structured functional requirements
• 5+ years of experience KPIs, success metrics, Data statics/Programming and measurable business outcomes
• Experience managing UAT activities and stakeholder communication; Demonstrated understanding of key clinical development concepts; Self-driven with ability to work independently
• Bachelor's or Master's degree in Life Sciences, Health Sciences, Pharmacy, Biotechnology, Biomedical Sciences, or related discipline; Academic or professional experience supporting clinical research, clinical development, translational science, oncology, or related therapeutic areas
• Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
• Understanding of AI/ML concepts and Generative AI solutions; Basic Python for exploratory data analysis
• Knowledge of prompt engineering, AI agents, or LLM-based workflows
• Experience with AI products, analytics platforms, or intelligent automation initiatives
• Experience working in Agile and iterative product delivery; GxP / Computer System Validation (CSV) knowledge
• Basic SQL for data validation and analysis; Familiarity with Jira or Azure DevOps