Looking for AI Scientific Business Analyst - Remote / Foster City, CA - Full-Time

AI Scientific Business Analyst Location: Remote / Foster City, CA

Experience: 10+ Years

Job Type: Full-Time

Role Summary

• We are seeking an AI Scientific Business Analyst with strong Life Sciences and AI/ML knowledge to bridge business, scientific, product, data, and AI engineering teams. The ideal candidate will understand clinical research and drug development and be able to translate scientific/business needs into clear requirements for AI-powered solutions.

Required Qualifications

• Bachelor’s or Master’s degree in Life Sciences, Health Sciences, Pharmacy, Biotechnology, Biomedical Sciences, or related field.
• 10+ years of overall experience, including 8+ years within Pharmaceutical R&D / Life Sciences.
• Strong experience in Business Analysis, requirements gathering, and stakeholder management.
• Experience supporting Clinical Research, Clinical Development, Translational Science, Oncology, or related therapeutic areas.
• Strong understanding of the clinical development and pharmaceutical R&D lifecycle.
• Ability to translate ambiguous business/scientific problems into structured functional and AI requirements.
• Experience defining KPIs, success criteria, and measurable business outcomes.
• Experience with UAT planning and execution, including test scenarios, defect tracking, retesting, and UAT reporting.
• Strong communication, analytical, problem-solving, and stakeholder management skills.

Key Responsibilities

• Partner with Product Managers, Business Leads, AI Leads, and Data teams to define AI use cases, requirements, success criteria, and outcomes.
• Translate business/scientific needs into AI-ready requirements, including data inputs, model outputs, workflows, prompts, and dashboards.
• Create and maintain user stories, acceptance criteria, URS/FRS, process flows, and data-flow documentation.
• Define current-state/future-state processes and support requirements prioritization and solution feasibility.
• Partner with AI/Data teams to define data specifications, source-to-target mappings, and AI input/output requirements.
• Lead UAT planning and execution, including test cases, defect tracking, retesting, and UAT summary reports.
• Track and communicate project status, risks, issues, dependencies, decisions, and assumptions.
• Act as the bridge between scientific/business stakeholders and AI/technical teams to ensure alignment and successful delivery.

Preferred / Good-to-Have Skills

• Understanding of AI/ML and Generative AI concepts.
• Experience with AI products, analytics, intelligent automation, LLMs, AI agents, or prompt engineering.
• Experience working in Agile/Scrum environments.
• GxP / CSV knowledge.
• Basic SQL for data validation and analysis.
• Basic Python for exploratory data analysis.
• Experience with Jira or Azure DevOps.