Scientific Business Analyst
Foster City, CA 94404 (Hybrid with 3 Days onsite)
Salary – Market (DOE)
Full-Time / Direct-Hire

We are looking for a Scientific Business Analyst with AI experience who combines life sciences expertise with business analysis and AI product delivery. This role will partner with Product Managers, Business Leads, AI Engineers, and Data teams to define and deliver AI-powered solutions that support clinical research and drug development. The ideal candidate has a strong scientific background, understands clinical development processes, and can translate complex business needs into structured AI requirements that enable successful product delivery. This position is for customer who can able to independently handled all BA AI Scientific experience.

Skills / Experience

Strong understanding of clinical development lifecycle and pharmaceutical development processes
8+ years of experience working within pharmaceutical R&D organizations
8+ years of excellent business analysis and requirements gathering skills
Ability to convert ambiguous business problems into structured functional requirements
5+ years of Experience defining KPIs, success metrics, and measurable business outcomes
Strong written and verbal communication skills; Self-driven with ability to work independently
Experience managing UAT activities and stakeholder communication; Demonstrated understanding of key clinical development concepts
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

Job / Role Description

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

Deliverables

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

Secondary Skills / (Good to have

Understanding of AI/ML concepts and Generative AI solutions; Knowledge of prompt engineering, AI agents, or LLM-based workflows
Experience with AI products, analytics platforms, or intelligent automation initiatives; Basic Python for exploratory data analysis
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

What Success Looks Like / Expected Outcome

Successfully understand business priorities, clinical workflows, and AI product roadmap
Partner with stakeholders to define and document high-quality AI use cases and requirements
Deliver complete business analysis artifacts including User Stories, URS/FRS, process flows, and acceptance criteria
Establish clear AI input/output definitions and success metrics for prioritized initiatives
Successfully lead User Acceptance Testing and support multiple AI solution releases
Improve collaboration between scientific stakeholders and AI engineering teams, reducing requirement ambiguity and delivery delays
Contribute to the successful rollout of AI capabilities supporting clinical development and drug discovery initiatives
Become a trusted business partner for AI-enabled scientific product development

Scientific Business Analyst

Quick Overview

Job Description

Skills

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