Senior Business Analyst (Life Sciences)

About the role

As a Senior Business Analyst, you will play a key role in shaping enterprise-level digital solutions for a life-sciences R&D organization undergoing digital transformation. You will lead process discovery and workflow optimization, translating scientific and business needs into prioritized, development-ready requirements.

Responsibilities

• Capture and articulate the vision of the client’s business area, ensuring alignment between business objectives and solution outcomes
• Lead discovery and analysis activities, defining the as-is and to-be states to identify gaps and propose business improvements
• Own the end-to-end requirements process, standardizing elicitation, documentation, validation, and lifecycle management
• Document and visualize existing scientific and operational processes using BPMN, swimlane diagrams, and other process-modelling techniques
• Translate business needs into clear, actionable requirements for development teams, reducing delivery risks and rework
• Collaborate closely with stakeholders, product managers, architects, and delivery teams to ensure shared understanding and priorities
• Develop business cases to assess the feasibility, value, and impact of proposed solutions or investments
• Conduct stakeholder analysis and establish effective communication and change management strategies
• Manage solution scope and prioritization to support timely, high-quality delivery
• Prepare and facilitate a formal solution handoff and contribute to defining the next-phase digital transformation roadmap
• Travel to the UK, including an initial one-month onsite discovery phase and two additional shorter trips

Requirements

• Over 5 years of experience as a Business Analyst in IT environments, working with enterprise clients
• Strong life-sciences R&D domain knowledge, gained through relevant professional experience and/or a university degree in life sciences, biotechnology, bioinformatics, chemistry, pharmacy, or a related scientific discipline
• Understanding of scientific R&D environments and workflows; exposure to areas such as assays, screening, structural biology, laboratory processes, or computational pipelines is highly desirable
• Strong knowledge of business analysis practices, techniques, and artifacts across the full solution lifecycle
• Hands-on experience with Agile and Kanban software development methodologies
• Understanding of business architecture frameworks and enterprise operating models
• Experience in business development, discovery phases, and pre-sales activities
• Ability to apply prioritization techniques, scope management, and change management practices
• Effective English communication skills for collaboration with cross-functional and international teams
• Familiarity with data engineering or data science concepts is an advantage
• Professional certifications such as IIBA CBAP, PMI PBA, OCUP 2 Intermediate, OCEB 2 Business Intermediate, or TOGAF 9.0 Foundation are a plus

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.