Lead R&D Technologist - Clinical Data Handling and Transformation

What You’ll Do:

• Design and implement innovative solutions across Clinical Data Management and Analytics within R&D and Drug Development programs.


• Contribute to strategy, assessment, and technology implementation initiatives as a techno-functional consultant in the clinical data domain.


• Lead and participate in business process discussions with stakeholders, identifying requirements, defining user stories, and advising on clinical data handling, transformation, governance, and access controls.


• Conduct client workshops, interviews, and working sessions (virtual and in-person) to elicit, validate, and document business and data requirements.


• Author high-level and detailed user stories, define acceptance criteria, support backlog refinement, and review test cases to ensure alignment with business needs.


• Collaborate closely with cross-functional delivery teams to produce and maintain Requirements Specifications, RTMs, functional designs, and other project artefacts.


• Plan and facilitate Agile ceremonies and artefacts, including sprint planning, reviews, retrospectives, and daily stand-ups.


• Perform business process modeling, data flow analysis, user experience modeling, and create high-level solution and architecture diagrams.


• Act as a techno-functional liaison between business stakeholders and engineering teams, ensuring accurate translation of clinical and regulatory requirements into implementable solutions.


• Support delivery in large, complex, GxP-regulated programs, providing guidance, issue resolution, and escalation support where needed.


• Mentor and guide junior analysts and consultants, contributing to capability building, best practices, and the growth of the Business Analysis community.

What You’ll Bring:

• Bachelor’s degree in Pharmacy, Life Sciences, Bioinformatics, Medicine, or a related discipline.


• Master’s degree in Business Analysis, Engineering, Data/Computer Science, or related fields is preferred.


• 6–10 years of experience in the Life Sciences / Pharmaceutical domain, working as a Business Analyst, Clinical Data Consultant, Solution Architect, or Data Analyst.


• Strong experience across Clinical Data Management and Biometrics, including areas such as:
  
  
  
  • Discrepancy and issue management
  
  
  • Clinical Data Repositories (CDR)
  
  
  • Clinical data transformation and automation
  
  
  • Operational and clinical reporting
  
  
  
  


• Hands-on experience in end-to-end Clinical Data Repository implementations is highly desirable.


• Deep understanding of end-to-end clinical data management and analysis processes across drug development.


• Experience delivering GxP-compliant solutions within large, regulated enterprise programs.


• Ability to translate complex clinical and regulatory requirements into scalable, technology-enabled solutions.


• Exposure to programming or analytical tools such as R, Python, or SAS is preferred.


• Strong stakeholder management, communication, and consulting skills, with the ability to work effectively in global, cross-functional teams.