Business Analyst (AI & Data Platforms, Clinical Trials)
Behavioral Health Market Context
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Qualifications
- •Continuously refine requirements based on feedback and project learnings
- •5+ years of experience as a Business Analyst or similar role in software or data projects
- •Experience supporting development teams in Agile/Scrum environments
- •Strong skills in requirements elicitation, documentation, and backlog management
- •Practical understanding of data-driven systems, analytics platforms, or AI-enabled solutions
- •Ability to communicate effectively with both business and technical stakeholders
- •Experience writing user stories, use cases, and acceptance criteria
- •Familiarity with SQL, data models, APIs, or system integrations (conceptual level is sufficient)
- •Strong analytical thinking and problem-solving skills
- •Comfortable working in structured, regulated environments
- •Experience working in clinical trials, life sciences, pharma, or CRO environments
- •Exposure to AI/ML concepts, analytics, or data science projects
- •Experience with data platforms, BI tools, or dashboards
- •Understanding of validation, auditability, or compliance requirements (GxP, 21 CFR Part 11, etc.)
- •Familiarity with tools such as Jira, Confluence, Miro, or similar
- •Experience working with globally distributed teams
- •13 more items(s)
Responsibilities
- •The project focuses on developing AI- and data-driven solutions to support clinical trial operations, analytics, and decisionmaking
- •These solutions may include data platforms, analytics dashboards, AI-assisted workflows, and intelligent tools that enhance trial planning, execution, and monitoring
- •Strong collaboration between business and technical teams is essential.We are looking for a strong Middle / Middle+ Business Analyst to support a development team delivering AI and data solutions within a clinical research environment
- •You will act as a key bridge between business stakeholders and technical teams, ensuring that requirements are clearly defined, prioritized, and translated into actionable development tasks
- •The role requires a solid understanding of data concepts and AI-related solutions, combined with strong analytical, communication, and documentation skills
- •Elicit, analyze, and document business requirements from clinical, operational, and technical stakeholders
- •Translate business needs into clear functional and non-functional requirements, user stories, and acceptance criteria
- •Support backlog refinement, prioritization, and sprint planning activities
- •Ensure alignment between business goals and delivered technical solutions
- •Work with data engineers and AI specialists to define requirements for:
- •Understand data sources, data flows, and key metrics used in clinical trials
- •Assist in defining data quality, validation, and traceability requirements
- •Act as a liaison between clinical operations, product owners, and development teams
- •Facilitate workshops, grooming sessions, and requirement walkthroughs
- •Clarify scope, assumptions, and dependencies with all stakeholders
- •Support demos and review sessions with business users
- •Create and maintain project documentation (BRDs, FRDs, user stories, process diagrams)
- •Support change management and impact analysis for evolving requirements
- •Ensure requirements align with regulatory and compliance expectations typical for clinical research environments (e.g., GxP-related considerations)
- •Review delivered functionality against acceptance criteria
- •17 more items(s)
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