Location
London

Hours
Full Time

Salary
Negotiable

About the Role
This is an exciting opportunity to play a key role in the delivery of the MHRA's Beyond ADMET: AI for Medicines Safety regulatory sandbox. This strategic regulatory science initiative explores how artificial intelligence can improve the prediction of absorption, distribution, metabolism, excretion and toxicity (ADMET) outcomes and integrate clinical and real-world data to support safer, faster and more efficient medicines development, ultimately strengthening patient safety. Reporting to the Deputy Director of Benefit Risk Evaluation I, you will provide overall leadership for the programme, including its strategic vision, scientific direction and delivery priorities. The role requires a leader who can operate at the intersection of regulatory science, artificial intelligence, medicines development and patient safety, bringing together expertise from across the MHRA, academia, industry, government and the wider healthcare ecosystem.

You will act as the senior ambassador for the programme, building partnerships nationally and internationally, influencing emerging regulatory thinking, and helping position the MHRA as a global leader in AI-enabled regulation and patient safety science. Initially focused on leading delivery of the Beyond ADMET regulatory sandbox, you will also contribute to the MHRA's broader strategic ambitions in AI-enabled regulatory science and innovation, with opportunities to apply your expertise across other priority areas as organisational needs evolve.

Leading a multidisciplinary team of technical and regulatory specialists and programme delivery staff, you will ensure the programme benefits from complementary expertise across all domains. This role offers a unique opportunity to contribute to the advancement of regulatory science at the intersection of AI, medicines development and patient safety, while helping to establish a coherent approach across the MHRA's wider portfolio of AI initiatives and regulatory sandboxes.

Experience
- Leading complex strategic programmes, scientific portfolios or major innovation initiatives, with successful delivery of outcomes.
- Managing multidisciplinary teams and leading highly specialised technical experts.
- Influencing senior stakeholders and working collaboratively with external partners including academia, industry, government and healthcare organisations.

About you
- Recognised expertise in either artificial intelligence, machine learning, data science, computational modelling; or pharmacology, toxicology, drug development, NAMs or related life science disciplines.
- Broad understanding of the wider AI and medicines development ecosystem, with ability to lead multidisciplinary teams spanning both domains.
- Ability to evaluate scientific evidence and emerging technologies and translate findings into regulatory and strategic recommendations.
- Strong leadership skills with the ability to create an inclusive culture encouraging innovation, collaboration and continuous improvement.
- Excellent communication and stakeholder engagement skills to represent the MHRA as a senior spokesperson and thought leader.

Qualifications
- 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.