We are currently looking for a Data Scientist to join our Scientific Data & Insight Function within the Safety & Surveillance group.
This is a full-time opportunity, on a 2 year fixed term contract/loan/secondment/internal move or temporary promotion basis. The role will be based in 10 South Colonnade, Canary Wharf London, E14 4PU. Please be aware that this role can only be worked in the UK and not overseas.
Government departments and agencies are working towards implementing a minimum 60% attendance in office sites.
We are currently implementing a flexible, hybrid way of working, with a minimum of 8 days per month working on site to enable the collaboration and contact with partners and stakeholders needed to deliver MHRA business. Attendance on site is driven by business needs so depending on the nature of the role, this can flex up to 12 days a month, with the remainder of time worked either remotely or in the office. Some roles will need to be on site more regularly.
Who are we?
The Medicines and Healthcare products Regulatory Agency enhance and improve the health of millions of people every day through the effective regulation of medicines and medical devices, underpinned by science and research.
To deliver effectively on our central mission of protecting public health, we need robust vigilance processes that are able to quickly detect, monitor and evaluate safety signals across the product lifecycle, the ability to critically evaluate the benefit/risk balance of signals of concern and design effective risk mitigations, to communicate effectively to patients and the public and a healthcare system able to implement them. The Safety and Surveillance Group brings together into a single integrated structure expertise on the safety of all medical products with enforcement capabilities. These functions are supported by the Agency’s data and evidence generating capabilities complementing our signal generating abilities delivered via the common vigilance platform SafetyConnect.
Safety remains at the heart of all our decision making across the product life cycle. The central mission of the Safety & Surveillance portfolio is to protect the public by appropriately identifying, assessing and managing the risks associated with medical products. In every aspect of this work, we harness the best science, technology, information and professional practice to protect patients in new and impactful ways.
In support of this mission, the Scientific Data & Insight (SD&I) function is responsible for developing expertise in house to deliver evidence to underpin these new approaches. Quality and speed of regulatory decision making is dependent on having access to high-quality, representative data in a timely fashion but also being able to access and analyse in house data and information in the most effective way. A critical aspect of this work will include the exploration and application of new analytical methodologies including AI and machine learning methods such as natural language processing, large language models and computer modelling and simulation approaches. Hence developing and strengthening capacity and capability in data science within MHRA is a key strategic objective to ensure we are best placed to address the future evidence generation needs for both medicines and devices.
What’s the role?
Join MHRA’s cutting-edge Scientific Data & Insight team as a Data Scientist and help shape global evidence on the safety of contraceptives. You’ll work with large-scale UK health datasets and apply advanced analytics and machine learning to answer high-impact public health questions. This is a rare opportunity to blend data science, epidemiology, and innovation to generate real-world evidence that informs global health decisions.
Key responsibilities:
Analyse large-scale health datasets using R, applying statistical and machine learning methods to generate high-quality evidence
Communicate findings effectively through clear explanations, visualisations, and presentations for both technical and non-technical audiences
Develop robust, reproducible, and scalable analytical workflows following best practices in coding, documentation, and version control
Apply epidemiological and data science methods to assess the safety of medicines
Who are we looking for?
Our successful candidate will have:
Proven experience analysing large, complex health datasets using R
Strong applied statistical and/or machine learning skills, with the ability to select and implement appropriate methods for health data and interpret results accurately
Excellent data wrangling and pipeline-building skills, ensuring outputs are reproducible, well-documented, and scalable
Clear and confident communicator, able to present technical methods and results to both expert and non-expert audiences, including through data visualisation
Collaborative and adaptable approach, with experience working in multidisciplinary teams
If you would like to find out more about this fantastic opportunity, please read our Job Description and Person Specification!
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The selection process:
We use the Civil Service Success Profiles to assess our candidates, find out more here.
Online application form, including questions based on the Behaviour, Experience and Technical Success Profiles. Please ensure all application questions are completed in full; your application may not be considered if any responses are left blank. Our applications are CV blind, and our Hiring Managers will not be able to access your CV when reviewing your application
Test, further information will be supplied when you reach this stage
Presentation, to be prepared as part of your interview, with further information being supplied when you reach this stage.
Interview, which can include questions based on the Behaviour, Experience, Technical and Strengths Success Profiles.
In the instance that we receive a high number of applications, we will hold an initial sift based on the lead criteria of: A MSc in Data Science, Statistics, Machine Learning, Computer Science or a similar quantitative discipline or demonstrable equivalent professional experience.
Applicants are assessed on whether they meet any mandatory requirements as well as the necessary skills and experience for the role. Applications are scored based on the competency-based answers provided- ensure you have read these thoroughly and allow sufficient time. You can view the competencies for this role in the job description.
Use of AI in Job Applications
Applicants must ensure that anything submitted is factually accurate and truthful. Plagiarism can include presenting the ideas and experience of others, or generated by artificial intelligence, as your own.
If you require any disability related adjustments at any point during the process, please contact careers@mhra.gov.uk as soon as possible.
Closing date: 9 September 2025
Shortlisting date: 11 September 2025
Interview date: 22 September 2025
Candidates will be contacted within a week of the sift and the interviews completed to inform them of the outcome.
If you need assistance applying for this role or have any other questions, please contact careers@mhra.gov.uk
Candidates will be subject to UK immigration requirements as well as Civil Service nationality rules. Further information on whether you are able to apply is available here.
Successful candidates must pass a disclosure and barring security check as well as animal rights and pro-life activism checks. People working with government assets must complete basic personnel security standard checks.
Certain roles within the MHRA will require post holders to have vaccinations, and in some circumstances, routine health surveillance. These roles include:
Laboratory-based roles working directly with known pathogens
Maintenance roles, particularly those required to work in laboratory settings
Roles that involve visiting other establishments where vaccination is required
Roles required to travel overseas where specific vaccination may be required.
Applicants who are successful at interview will be, as part of pre-employment screening subject to a check on the Internal Fraud Database (IFD). This check will provide information about employees who have been dismissed for fraud or dishonesty offences. This check also applies to employees who resign or otherwise leave before being dismissed for fraud or dishonesty had their employment continued. Any applicant’s details held on the IFD will be refused employment. A candidate is not eligible to apply for a role within the Civil Service if the application is made within a 5 year period following a dismissal for carrying out internal fraud against government.
Any move to the MHRA from another employer will mean you can no longer access childcare vouchers. This includes moves between government departments. You may however be eligible for other government schemes, including Tax-Free Childcare. Determine your eligibility here.
Successful candidates may be subject to annual Occupational Health reviews dependent on role requirements. If you have any queries, please contactcareers@mhra.gov.uk.
In accordance with the Civil Service Commissioners’ Recruitment Principles our recruitment and selection processes are underpinned by the requirement of selection for appointment on the basis of merit by a fair and open competition. If you feel your application has not been treated in accordance with the Recruitment Principles and you wish to make a complaint, you should firstly contact Florentina Oyelami, Head of Talent Acquisition, Florentina.Oyelami@mhra.gov.uk.
If you are not satisfied with the response you receive, you can contact the Civil Service Commission at: civilservicecommission.independent.gov.uk
info@csc.gov.uk
Civil Service Commission
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About Us
The Medicines and Healthcare products Regulatory Agency enhance and improve the health of millions of people every day through the effective regulation of medicines and medical devices, underpinned by science and research.
The agency is made up of c.1300 staff working across two main centres and peripatetically across the UK and abroad.
The agency consists of Corporate, Digital & Technology, Enablement, Healthcare Quality & Access, Partnerships, Safety & Surveillance and Scientific Research & Innovation.