Senior Technical Lead — AI for Medicines Safety Sandbox

Medicines And Healthcare Products Regulatory Agency; Greater London; Presencial; GBP 120.000 - 160.000; Jornada completa

Descripción de la vacante

Medicines and Healthcare Products Regulatory Agency (MHRA) seeks a senior technical leader for its Beyond ADMET: AI for Medicines Safety sandbox. You will guide scientific strategy, ensure rigorous methods and drive regulatory-ready innovation at the intersection of AI, toxicology, pharmacology and medicines development.

You will collaborate across MHRA, industry and academia to shape evidence, methods and regulatory thinking while contributing to broader AI-enabled safety initiatives across the

Formación

• Experience applying scientific and technical expertise to regulatory, healthcare or industry challenges.
• Ability to evaluate AI methodologies, model performance and validation approaches.
• Excellent written and verbal communication with diverse audiences.

Responsabilidades

• Provide senior technical and scientific leadership for the Beyond ADMET sandbox.
• Oversee scientific rigour, technical quality and alignment with regulatory objectives.
• Evaluate emerging AI methodologies, datasets and validation approaches.
• Engage with external stakeholders including academia, industry and government.

Conocimientos

Artificial Intelligence

Machine Learning

Healthcare data science

Computational modelling

Regulatory science

Regulatory engagement

Educación

Degree in a relevant scientific/technical discipline

Postgraduate qualification (MSc/PhD) in AI, computational biology, pharmacology, toxicology, data science or related

Descripción del empleo

Medicines and Healthcare Products Regulatory Agency (MHRA) seeks a senior technical leader for its Beyond ADMET: AI for Medicines Safety sandbox. You will guide scientific strategy, ensure rigorous methods and drive regulatory-ready innovation at the intersection of AI, toxicology, pharmacology and medicines development.

You will collaborate across MHRA, industry and academia to shape evidence, methods and regulatory thinking while contributing to broader AI-enabled safety initiatives across the