Senior Data Scientist

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 an experienced Senior Data Scientist 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: Line manage and lead a team of device data researchers and data scientists in applying analytical methods to patient data collated through vigilance systems to support assessment of the safety of medicines and medical devices and advise on the refinement of AI tools for data processing.

• Support the implementation of new analytical approaches to better interrogate incident reporting data, including the development of automated analytical approaches.
• Interact across the Agency and with external stakeholders to optimise device data quality, encouraging collaboration across areas.
• Working with vigilance scientists, developers, and epidemiologists to optimise vigilance reporting systems, including the application machine learning where appropriate.

The successful candidate will have:

• A PhD in Data Science, Statistics, Machine Learning, Computer Science or a similar quantitative discipline or demonstrable equivalent professional experience.
• Expertise in using programming tools such as R, Python, or Julia to characterise or analyse health data.
• Demonstrable technical knowledge and skills in at least one of the following domains: mathematical modelling and simulations, machine learning, deep learning, natural language processing, Bayesian inference.

Closing date: 01 March 2026

• A PhD in Data Science, Statistics, Machine Learning, Computer Science or a similar quantitative discipline or demonstrable equivalent professional experience.
• Expertise in using programming tools such as R, Python, or Julia to characterise or analyse health data.
• Demonstrable technical knowledge and skills in at least one of the following domains: mathematical modelling and simulations, machine learning, deep learning, natural language processing, Bayesian inference.

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.