Business Analyst – AI-Powered Solutions

We are looking for an experienced Business Analyst to join our team and contribute to the development of innovative AI-powered and data-driven solutions within the Life Sciences domain. In this role, you will work closely with Product Managers, Delivery Leads, UX/UI Designers, Software Engineers, Data Teams, and QA specialists to translate business needs into clear, actionable requirements. You will be involved throughout the entire product lifecycle, from discovery and requirements gathering to implementation, testing, release, and continuous product improvement, working on agentic AI solutions that support scientific research.

Responsibilities

• Collaborate with Product Managers and Delivery Leads to define, refine, and prioritize product requirements

• Gather, analyze, and document business requirements, user stories, acceptance criteria, and business processes

• Conduct stakeholder interviews, workshops, and user feedback sessions to understand business and user needs

• Translate requirements into well-structured Jira epics, features, user stories, and tasks

• Work closely with UX/UI Designers to define user journeys, personas, workflows, and usability requirements

• Collaborate with engineering and data teams to clarify requirements and support iterative Agile delivery

• Support the design and validation of AI-powered workflows, including agentic AI interactions and business processes

• Create and maintain product requirements, process documentation, and knowledge-base materials in Confluence

• Partner with QA teams to define test scenarios, acceptance criteria, and validation approaches

• Collect, analyze, and manage user feedback, enhancement requests, and product improvement opportunities

• Support product releases, user adoption, rollout, and change management activities

• Maintain a well-structured and prioritized product backlog in collaboration with stakeholders

Requirements

• 3+ years of experience as a Business Analyst working on software development or digital product delivery projects

• Experience working in the Life Sciences, pharmaceutical, biotechnology, healthcare, or biomedical research domains

• Practical experience supporting the delivery of AI-powered applications or solutions

• Strong understanding of Agile methodologies, including Scrum and/or Kanban.

• Hands-on experience with Jira and Confluence

• Proven experience gathering, analyzing, and documenting business requirements, user stories, and acceptance criteria

• Experience collaborating with cross-functional teams, including Product Management, UX/UI, Engineering, and QA

• Experience supporting the end-to-end software development lifecycle, from discovery and requirements gathering through testing and release

• Strong analytical thinking and ability to translate complex or ambiguous business needs into clear, actionable requirements

• Experience facilitating workshops, stakeholder interviews, and requirements review sessions

• Excellent communication, documentation, and stakeholder management skills

• Strong English communication skills

Nice to have

• Experience working on Agentic AI, or Generative AI (LLM-based) applications

• Understanding of AI concepts and technologies, including Retrieval-Augmented Generation (RAG), knowledge graphs, semantic search, and metadata management

• Experience delivering data-centric products, such as data catalogs, data discovery platforms, or scientific knowledge management solutions

• Familiarity with clinical data management concepts, including real-world data (RWD) and real-world evidence (RWE).

• Understanding clinical data governance, privacy regulations, and compliance requirements, including GDPR and HIPAA, in the scope of development of AI solutions.

• Ability to interpret and integrate molecular, clinical, and diagnostic data to support research and healthcare applications.

• Experience supporting multiple products or workstreams simultaneously

We offer

• Competitive compensation

• Remote work

• Flexible working hours

• Continuous education, mentoring, and professional development programs

• A team with excellent tech expertise