Director, MIDD AI/ML Scientist in London

Clinical Pharmacology Quantitative Medicine (CPQM) is accountable for applying clinical pharmacology strategies and the principles of quantitative medicine across RIIRU (Respiratory, Immunology & Inflammation Research Unit) to enable end-to-end development of transformative medicines. A key component of the CPQM mission is to harness AI/ML and mechanistic modelling to drive robust Development Strategies including dose, endpoint and population selection; smart clinical trials and Model Informed Drug Development (MIDD) evidence.

This role focuses on the practical application of emerging AI/ML and hybrid AI/ML-Pharmacometrics methodologies to projects at asset and disease levels, supporting a wide range of clinical development decisions across RIIRU. The role involves collaborating with Clinical Pharmacology leads and cross-functional teams to integrate diverse biomedical data (clinical, imaging, biomarkers, OMICs, digital health, real-world data) into hybrid AI/ML-Pharmacometrics approaches, direct stakeholder engagement, identifying high-impact opportunities, analysis planning, execution, interpretation and communication of results and impact.

This position is an excellent entry point for experienced quantitative scientists with a background in AI/ML (e.g., PhDs in AI/ML or related fields), drug development and Pharmacometrics/QSP seeking to apply those techniques to benefit patients at the frontier of medicine.

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

In this role you will:

• Manage stakeholder engagement: Proactively interact with stakeholders, line and middle management, staff and external contacts on a functional and tactical level. Identify high impact opportunities for hybrid AI/ML-pharmacometrics approaches on projects.
• Execute portfolio projects: Apply AI/ML and hybrid AI/ML-pharmacometrics approaches to deliver analyses that inform drug development decisions (dose, regimen, endpoint, population, trial design).
• Work cross-functionally: Collaborate with CPMS leads, QSP modellers, statisticians, and digital/imaging experts to integrate AI/ML analyses with existing modelling frameworks. Develop analysis plans, conduct analyses and communicate interim/final results.
• Contribute to our capabilities: Engage with academic groups and external vendors supporting joint internal-external projects. Identify best practices and disseminate learnings from internal and external sources.
• Drive awareness: Deliver training, seminars, and internal communications to increase literacy in AI/ML-pharmacometrics across CPQM and RIIRU.
• Have external influence: Conference presentations, posters, and publications in scientific journals to represent GSK's impact in AI/ML for drug development.

Basic Qualifications & Skills: We are looking for a professional with these required skills to achieve our goals:

• PhD (or equivalent) in AI/ML or related quantitative fields or in Life Sciences.
• Strong foundation and experience in building and applying AI/ML models.
• Strong foundation and experience in statistics and/or pharmacometrics / quantitative clinical pharmacology.
• Strong industry drug development experience, working within teams.
• Experience coding AI/ML pipelines in Python/PyTorch or Julia/Pumas.
• Strong interest and experience in promoting hybrid AI/ML-pharmacometrics expertise. Developing people and processes.
• Excellent collaboration and communication skills (written, verbal and presentation), with experience working in interdisciplinary teams.

Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus:

• Direct pharmacometric project experience.
• Direct experience applying AIML approaches for longitudinal data and/or SciML approaches.
• Familiarity with the application of agentic AI to enhance novel process integration.

GSK is an Equal Opportunity Employer. This includes equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited by law. We support flexible and agile working arrangements where possible.