Job summary****TO APPLY FOR THIS ROLE, PLEASE ENSURE YOU CLICK THE LINK TO APPLY BUTTON (UNDER SUPPORTING LINKS). This will redirect you to the Civil Service Jobs Website to submit your application. APPLICATIONS SUBMITTED VIA NHS JOBS WILL NOT BE ACCEPTED****This is an exciting opportunity to play a senior technical leadership role in the MHRA's pioneering regulatory sandbox, Beyond ADMET: AI for Medicines Safety, an innovative initiative exploring how artificial intelligence can transform medicines development and strengthen patient safety.
Working alongside the Head, AI for Medicines Safety, you will provide specialist scientific and technical leadership, helping to shape the evidence, methodologies and innovations that inform future regulatory approaches.
This is a unique opportunity to work at the intersection of AI, toxicology, pharmacology, medicines development and regulatory science while contributing to the MHRA's wider ambitions for AI-enabled innovation and patient safety.
Main duties of the jobProvide 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.
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.
Lead the evaluation of emerging methodologies, technologies, datasets and evidence relevant to AI-enabled medicines development, safety assessment and regulatory decision-making.
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.
About usThe 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 researchDetailsDate posted23 October 2026Pay schemeOtherSalary
To be considered for an interview, please make sure your application is full in line with the job specs as found below. 78,230 a year ContractPermanentWorking pattern Full-time, Flexible working Job description Experience EssentialSignificant experience and recognised expertise in at least one of the following areas: Artificial Intelligence and Machine LearningHealthcare data science and computational modellingPre-clinical assessment, toxicology and New Approach Methodologies (NAMs)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.
Experience of AI model development, validation or deployment within healthcare or life sciences settings, or of ADMET prediction, computational toxicology, modelling and simulation or related disciplines. Technical Criteria EssentialRecognised technical expertise in either: Pharmacology, Toxicology, Drug Development, Safety Science, New Approach Methodologies (NAMs) or related disciplines, ORArtificial Intelligence, Machine Learning, Healthcare Data Science, or related disciplinesAbility to critically evaluate scientific evidence, AI methodologies, model performance and validation approaches.
Strong analytical skills and the ability to interpret complex scientific, technical and data-driven information.
Excellent written and verbal communication skills, including the ability to communicate highly technical concepts to diverse audiences.
Qualifications
EssentialDegree 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. Person Specification Experience EssentialSignificant experience and recognised expertise in at least one of the following areas: Artificial Intelligence and Machine LearningHealthcare data science and computational modellingPre-clinical assessment, toxicology and New Approach Methodologies (NAMs)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.
Experience of AI model development, validation or deployment within healthcare or life sciences settings, or of ADMET prediction, computational toxicology, modelling and simulation or related disciplines. Technical Criteria EssentialRecognised technical expertise in either: Pharmacology, Toxicology, Drug Development, Safety Science, New Approach Methodologies (NAMs) or related disciplines, ORArtificial Intelligence, Machine Learning, Healthcare Data Science, or related disciplinesAbility to critically evaluate scientific evidence, AI methodologies, model performance and validation approaches.
Strong analytical skills and the ability to interpret complex scientific, technical and data-driven information.
Excellent written and verbal communication skills, including the ability to communicate highly technical concepts to diverse audiences.
Qualifications
EssentialDegree 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. xbpsjku Disclosure and Barring Service CheckThis post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Employer detailsEmployer nameMedicines and Healthcare Products Regulatory AgencyAddressMedicine & Healthcare Regulatory Agency10 South ColonnadeLondonE14 4PUUnited KingdomEmployer's websiteEmployer detailsEmployer nameMedicines and Healthcare Products Regulatory AgencyAddressMedicine & Healthcare Regulatory Agency10 South ColonnadeLondonE14 4PUUnited KingdomEmployer's website
Technical Lead, Medicines Safety Technologies in Kennington employer: National Health Service
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