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 Technical Lead, Medicines Safety Technologies to join our Benefit/Risk Evaluation Team I in the Safety and Surveillance group.
Within a week of working here, your day could look like this: Responsible for providing senior scientific and technical leadership for the “Beyond ADMET: AI for Medicines Safety” Sandbox programme, ensuring programme activities are scientifically robust, technically credible and aligned with regulatory objectives.
The successful candidate will work in partnership with the Head, AI for Medicines Safety to ensure the programme benefits from complementary expertise across artificial intelligence, healthcare data science, toxicology, pharmacology, medicines development and regulatory science.
You will lead the evaluation of emerging methodologies, technologies, datasets and evidence relevant to AI-enabled medicines development, safety assessment and regulatory decision-making.
You will build and maintain strong relationships with experts across the MHRA, industry, academia and government, representing the programme through technical engagement, collaboration and thought leadership activities.
The successful candidate will have a degree in a relevant scientific, technical or healthcare discipline (or equivalent experience).
- Postgraduate qualification (MSc, PhD or equivalent experience) in a relevant field such as artificial intelligence, computational biology, pharmacology, toxicology, data science, bioinformatics, pharmaceutical sciences or a related discipline.
- Recognised technical expertise in either: Pharmacology, Toxicology, Drug Development, Safety Science, New Approach Methodologies (NAMs) or related disciplines, OR AI, Machine Learning, Healthcare Data Science, or related disciplines
- Ability to critically evaluate scientific evidence, AI methodologies, model performance and validation approaches.
Our successful candidate will have:
- Significant experience and recognised expertise in at least one of the following areas:
o Pre-clinical assessment, toxicology and New Approach Methodologies (NAMs)
o Artificial Intelligence and Machine Learning
o Healthcare data science and computational modelling
o Pharmacology, drug discovery or development or related scientific areas.
- Experience applying scientific and technical expertise to complex regulatory, healthcare, research or industry challenges; and evaluating scientific evidence and translating findings into practical recommendations and actions.
- Experience working with multidisciplinary teams involving scientific, technical and non-technical stakeholders, and engaging effectively with external stakeholders, including academia, industry and research organisations.
- Experience preparing technical reports, scientific assessments, briefings, publications or regulatory submissions.
Closing date: 15 November 2026
£78,230. Grade 6