Data Science Industrial Placement Student - Quantitative Clinical Pharmacology

Join Roche’s Predictive Modelling chapter within the Pharma Research and Early Development (pRED) group as an intern focused on Quantitative Clinical Pharmacology. You will create and analyse data sets, provide graphical evaluations, and conduct exploratory analyses to support clinical pharmacology activities in the pharmaceutical industry.

Internship – Full‑time placement within Roche UK.

As an intern, you will collaborate with cross‑functional teams, apply quantitative methods to real data, and contribute to projects that drive drug development and patient health outcomes.

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• Undergraduate in the second year of a Bachelor’s or Integrated Masters degree (second or third year).
  
• Studying a data‑oriented subject such as Biological or Biomedical Sciences, Neuroscience, Mathematics, Statistics, Data Science, Bioengineering, or Computer Science.
  
• Have R programming experience (or another coding language), familiarity with Microsoft Office or Google equivalent, and data visualisation skills.
  
• Passionate about healthcare, data science, and drug development.
  
• Value a supportive, inclusive, and collaborative working environment.
  
• Have a clear understanding of personal strengths and areas for development.
  

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• CV & Cover Letter – Your cover letter should not exceed one page and must answer:
  
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  • Why Roche: Key motivation for applying.
    
  • Why you: Personal qualities, skills, behaviours, and experiences relevant to the role.
    
  
  
  
• Video Interview
  

Video interview with a Roche team member.

Final Assessment Center at Roche UK head office, Welwyn Garden City, Hertfordshire. Includes a face‑to‑face interview and role‑specific activities.

Roche is dedicated to advancing science and ensuring access to healthcare worldwide. With over 100,000 employees, we innovate across therapeutics, diagnostics, and digital health.

Equal Employment Opportunity Statement

At Roche, we believe diversity drives innovation and are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care.