6–9-Month University Industrial Placement Student (UIPS): Country Regulatory & Quality Affairs (CRQA)

• Develop the skills to think critically, solve complex challenges creatively, and contribute innovative ideas. You'll gain insight into our Business Unit strategies and learn how projects and programmes play a vital role in achieving both short- and long-term objectives.
• Work closely with cross-functional teams and provide hands-on support across key strategic and global initiatives, from initiation to close-out. Track progress and use standard project management practices to support efficient delivery.
• Support the development of an Operational Excellence approach within CRQA to showcase standard processes and establish a continuous improvement network.
• Provide supervised administrative and coordination support to the Quality Manager and the wider UK & Ireland Quality team, including maintaining quality records, trackers and shared files relating to training, deviations, corrective and preventive actions, change controls, supplier activities and other quality actions.
• Support document control, training compliance, Quality Management Review, self-inspection and audit-readiness activities by formatting and proofreading documents, checking metadata, monitoring completion data, organising evidence, preparing reports and meeting materials, and accurately recording actions and due dates.
• Use Microsoft 365 tools to analyse information, maintain dashboards and present clear, accurate summaries. Participate expertly in team meetings and cross-functional projects, promptly raise concerns or potential compliance issues, complete all assigned training, and deliver a defined improvement project in accordance with applicable procedures, data integrity principles, confidentiality requirements and company policies.

• Currently undertaking an undergraduate or integrated master's degree in a life sciences subject and able to complete a 6-9-month industry placement starting in early 2027.
• Strong working knowledge of data analytics, with experience using data to generate insights and inform decision-making.
• Solid understanding of and experience with the Microsoft Office suite, including Word, Excel, PowerPoint, Teams and Forms.
• A professional attitude and a proactive, can-do approach.
• Confidence in building relationships and working collaboratively with colleagues from different teams and subject areas.
• Excellent written and verbal communication skills.
• Awareness of artificial intelligence and an understanding of its practical applications.

• Advanced Microsoft Excel skills.
• Experience interpreting data and presenting findings clearly.
• Experience working in teams, whether in an educational, employment, volunteering or extracurricular setting.

To support your application, please include a cover letter highlighting any scholarships, publications, lab experience or extracurricular activities demonstrating leadership and teamwork. Your cover letter should be included in the same document as your CV, and the uploaded file should be named in the format Surname, First name.