Note: The job is a remote job and is open to candidates in USA. Falcon Smart IT is seeking a Senior Business Analyst to support AI-powered solutions for clinical research, drug development, and scientific product delivery. The role partners with product, scientific, AI engineering, and data teams to define use cases, translate business needs into AI-ready requirements, manage UAT, and support successful solution releases.
Responsibilities
- 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
- Translate business needs into AI-ready requirements, including:
- Input data expectations
- Model outputs (predictions, insights, recommendations)
- User interaction patterns (e.g., workflows, prompts, dashboards)
- 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
- 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
- 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
- Communicate effectively with internal and customer stakeholders
- Communication approach: verbal, emails and instant messages
- Strong interpersonal skills to build and maintain productive relationships with team members
- Provide constructive feedback during code reviews and be open to receiving feedback on your own code
- Capability to troubleshoot and resolve issues efficiently
- Analytical mindset
- Provides regular updates, proactive and due diligent to carry out responsibilities
- 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
- Partner with multidisciplinary teams including scientists, clinicians, AI engineers, and product leaders
- Contribute to cutting-edge Generative AI and Agentic AI initiatives with real-world impact in healthcare
- Gain exposure to modern AI technologies, data platforms, and cloud-based AI ecosystems
- Be part of a collaborative, innovation-driven environment that encourages continuous learning and professional growth
- Play a key role in delivering AI solutions that accelerate research, improve decision-making, and enhance patient outcomes
- Opportunity to influence the next generation of AI-powered scientific products within a global pharmaceutical ecosystem
- Partner with multidisciplinary teams including scientists, clinicians, AI engineers, and product leaders
- Contribute to cutting-edge Generative AI and Agentic AI initiatives with real-world impact in healthcare
- Gain exposure to modern AI technologies, data platforms, and cloud-based AI ecosystems
- Be part of a collaborative, innovation-driven environment that encourages continuous learning and professional growth
- Play a key role in delivering AI solutions that accelerate research, improve decision-making, and enhance patient outcomes
- Opportunity to influence the next generation of AI-powered scientific products within a global pharmaceutical ecosystem
Skills
- • Data statics and Programming
- • Bachelor's or Master's degree in Life Sciences, Health Sciences, Pharmacy, Biotechnology, Biomedical Sciences, or related discipline
- • Academic or professional experience in:
- • Clinical Research
- • Clinical Development
- • Translational Science
- • Oncology or related therapeutic areas
- • 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
- • Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps
- • Experience with AI products, analytics platforms, or intelligent automation initiatives
- • Knowledge of prompt engineering, AI agents, or LLM-based workflows
- • Experience working in Agile and iterative product delivery
- • GxP / Computer System Validation (CSV) knowledge
- • Basic SQL for data validation and analysis
- • Basic Python for exploratory data analysis
- • Familiarity with Jira or Azure DevOps
Benefits
- Remote work option (Foster City, CA onsite or remote)
- Gain exposure to modern AI technologies, data platforms, and cloud-based AI ecosystems.
- Be part of a collaborative, innovation-driven environment that encourages continuous learning and professional growth.
- Contribute to cutting-edge Generative AI and Agentic AI initiatives with real-world impact in healthcare.
- Opportunity to influence the next generation of AI-powered scientific products within a global pharmaceutical ecosystem.
Company Overview