About the role
Clinical Project Associate – AI-Enabled Clinical Design Lab 12-Month Contract | £200–400/day Umbrella | UK Based (Full Right to Work Required)
PE Global is recruiting a Clinical Project Associate to support an innovative AI-enabled Clinical Design Lab within a leading global pharmaceutical company. This initiative plays a key role in integrating artificial intelligence into clinical trial design and development processes.
The successful candidate will provide strategic project management and cross-functional coordination to ensure timely delivery of key milestones across clinical, data science, digital, and operational teams.
Support planning, tracking, and delivery of activities within the AI-enabled Clinical Design Lab.
Maintain and update detailed project timelines, milestones, and deliverables.
Coordinate cross-functional collaboration across clinical, data science, and technology stakeholders.
Assist in identifying and managing project risks, issues, and dependencies; support mitigation planning.
Prepare and maintain project documentation (agendas, minutes, action logs).
Facilitate effective communication and project visibility across internal teams.
Support change management and adoption activities for AI and digital innovation in clinical development.
Monitor project performance metrics, ensuring accuracy and quality in deliverables.
Bachelor’s degree in Life Sciences, Public Health, or related field.
~2–3 years of experience in project coordination/management within pharmaceutical or life sciences .
~ Demonstrated experience working cross-functionally with clinical, data, and/or digital teams.
~ Solid understanding of drug development and the clinical trial landscape.
~ Proficiency with Microsoft Office and project tracking tools.
~ Excellent communication and stakeholder management skills.
~ 2+ years in management consulting , ideally from leading firms (e.g., Broader strategic and change management experience , not limited to clinical operations execution
~ Experience with AI, digital, or data-driven transformation in clinical or R&D environments.
Familiarity with agile methodologies or digital transformation frameworks.
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