AI Scientific Business Analyst

Job Title: AI Scientific Business Analyst Job Type: Full-Time (FTE) Location: Remote (Preferred: Foster City, CA) About The Role We are seeking an experienced AI Scientific Business Analyst to bridge the gap between Life Sciences, Clinical Development, and Artificial Intelligence. This role is ideal for professionals with a strong scientific background who can collaborate with business stakeholders and technical teams to define, document, and deliver AI-powered solutions supporting drug discovery, clinical research, and pharmaceutical R&D. You will work closely with Product Managers, Clinical Scientists, AI Engineers, Data Scientists, and Business Leaders to transform complex scientific and business challenges into structured AI requirements that drive successful product delivery. Key Responsibilities • Collaborate with Product Managers, Business Leads, AI Engineers, and Data Teams to identify and define AI use cases. • Gather, analyze, and document business, scientific, and functional requirements for AI-driven applications. • Translate clinical and scientific business problems into AI-ready user stories, acceptance criteria, and functional specifications. • Define AI input/output requirements, model expectations, workflows, dashboards, and business success metrics. • Create and maintain: • User Stories • Acceptance Criteria • User Requirements Specifications (URS) • Functional Requirements Specifications (FRS) • Process Flows • Data Flow Diagrams • Source-to-Target Mapping • Partner with Data and AI teams to define datasets, model inputs, outputs, and validation requirements. • Lead requirements refinement sessions and stakeholder workshops. • Plan, coordinate, and lead User Acceptance Testing (UAT), including defect management and release readiness. • Monitor project risks, dependencies, assumptions, and communicate project status to stakeholders. • Serve as the primary liaison between scientific business teams and AI engineering teams. Required Qualifications Education • Bachelor's or Master's Degree Experience • 10+ years of Business Analysis experience. • 8+ years within Pharmaceutical or Life Sciences R&D organizations. • Strong experience supporting: • Clinical Research • Clinical Development • Translational Science • Drug Discovery • Oncology (Preferred) • Experience delivering AI or data-driven business solutions. • Experience working with Product Managers and cross-functional technical teams. • Experience leading User Acceptance Testing (UAT). Required Skills • Life Sciences Domain Expertise • Clinical Development Lifecycle • Pharmaceutical R&D • Business Analysis • Requirements Gathering • User Stories • Functional Requirements Specifications (FRS) • User Requirements Specifications (URS) • Process Mapping • AI Use Case Definition • Requirement Prioritization • KPI Definition • Stakeholder Management • Agile/Scrum Methodologies • Jira or Azure DevOps • Excellent Communication and Documentation Skills Preferred Skills • Generative AI • AI/ML Fundamentals • Prompt Engineering • Large Language Models (LLMs) • AI Agents • Intelligent Automation • GxP / Computer System Validation (CSV) • SQL • Python • Healthcare Analytics • Cloud AI Platforms Ideal Candidate The Ideal Candidate Will • Understand clinical workflows and scientific business processes. • Convert ambiguous scientific problems into structured AI product requirements. • Bridge communication between scientific stakeholders and AI engineering teams. • Define measurable AI success metrics and business outcomes. • Independently manage requirement gathering through UAT and production release. • Effectively collaborate with both technical and non-technical stakeholders in a fast-paced environment.