Note: The job is a remote job and is open to candidates in USA. Lenora Systems Inc is seeking a Business Analyst with AI experience to work closely with stakeholders in the clinical domain. The role involves requirement gathering, documentation, and translating business needs into AI-ready requirements, ensuring alignment between business and technical teams.

Responsibilities

• Act as the primary bridge between “what’s needed” (business) and “what’s possible” (technical) to ensure stakeholder alignment
• Leads requirements refinement, including current/future state analysis, requirements documentation, prioritization, feasibility alignment and stakeholder alignment
• 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
• Owns User Acceptance Testing planning and execution
• Partners with Testing team to ensure requirements are testable and the solution is ready for release

Skills

• 8+ years of experience in Business Analysis, Clinical Systems Support, or Clinical Operations Technology with AI experience must
• Must understand GXP system validation process
• Must be familiar with AWS environments
• Must be able to quickly learn to use new systems
• Strong stakeholder management, communication, and facilitation skills
• Experience gathering and documenting business requirements and process flows
• Ability to manage multiple priorities in a fast-paced environment
• Strong analytical, troubleshooting, and problem-solving capabilities
• Experience working within Tier 1, 2, and 3 support models
• Strong, clear, concise written and oral communication
• Ability to self-motivate and work independently
• Provides proactive status updates
• Experience working for pharmaceutical company in development
• Knowledge of clinical operations processes and GxP/regulatory environments is preferred
• Familiarity with AI/ML concepts (e.g., model outputs, evaluation, prompt-based systems, agent workflows)
• Experience supporting AI/analytics use cases or data products
• Experience working with iterative/experimental delivery models (0→1 prototyping)
• Basic SQL skills for data analysis and data verification
• Basic Python skills for data analysis

Company Overview

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