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Epidemiologist

The Medicines And Healthcare Products Regulatory Agency

Location: Canary Wharf, London, Hybrid
Salary: £58,983
Hours: Full Time
Contract Type: Permanent
Placed On: 25th September 2025
Closes: 7th October 2025
Job Ref: 429589

The MHRA is transforming. Through enabling innovation, making the right judgements of the benefits and risks of medical products and forging the right partnerships in the UK and internationally, it aims to deliver world class regulation and improved outcomes for UK patients.

We are currently looking for experienced Epidemiologist to join our Scientific Data & Insight Function in the Safety and Surveillance group.

Within a week of working here, your day could look like this: Provide expert support in safety assessments and conducting research to inform regulatory decisions. They will analyse real-world evidence from various observational data sources, including the Clinical Practice Research Datalink, to evaluate the risks of medical products. Additionally, the role will support the broader goals of the Safety and Surveillance Group and Agency through contributions to training and knowledge sharing.  

The successful candidate will have a postgraduate qualification in epidemiology, medical statistics, or a related discipline with a strong statistical/quantitative component, or equivalent practical experience.

  • Experience in the design, implementation, and analysis of observational studies, including a range of epidemiological techniques and data sources, with a focus on evaluating the safety of medical products. 
  • Experience in working collaboratively with multidisciplinary teams, to critically appraise and synthesise complex data and evidence from a variety of sources to contribute to decision making, considering both scientific rigour and stakeholder priorities.
  • Knowledge of the strengths and limitations of different data sources and how they can be effectively utilised to address stakeholder questions.  
  • Awareness of regulatory contexts in which epidemiological analyses are used, with an understanding of how methodological decisions impact evidence generation. 

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