Pharmacometrics Lead

Pharmacometrics Lead, AI and Machine Learning

We are looking for an innovative and agile Pharmacometrics Lead to join a Quantitative Clinical Pharmacology group.

About the role

You will lead the Pharmacometrics AI and ML strategy to support the development of a growing portfolio. This includes dose selection, trial design, extrapolation where appropriate, PIP development, and the ongoing evaluation of emerging clinical data across programs.

What you’ll be responsible for

• Developing, implementing, and leading AI and ML strategy within Pharmacometrics and Quantitative Clinical Pharmacology
• Evaluating and adopting emerging technologies across pharmacometrics and quantitative clinical pharmacology
• Performing hands-on AI and ML, population PK/PD, exposure response modeling, and clinical trial simulations on project teams
• Delivering submission‑ready, fit‑for‑purpose pharmacometrics analysis plans and reports
• Initiating and overseeing outsourced pharmacometrics and AI and ML work, with responsibility for internalizing activities where appropriate
• Supporting and mentoring the development of the pharmacometrics team from both a scientific and technical perspective
• Applying state‑of‑the‑art methodologies to optimize drug discovery and development
• Working across global regulatory pathways, including engagement with health authorities and external working parties, particularly in Paediatrics, Neurology, and Immunology
• Partnering closely with QCP Leads to ensure full integration of pharmacometrics into development programs
• Promoting MID3 principles internally and externally

What we’re looking for

• PhD or MD in pharmaceutical sciences, statistics, engineering, or a related discipline
• 8+ years of industry experience in pharmacometrics, with at least 2 years applying AI and ML in drug development
• Strong hands‑on expertise in population PK/PD, disease progression modeling, and clinical trial simulation
• Deep understanding of Bayesian methodologies and model‑based meta‑analysis
• Practical experience with R, Python, Matlab, NONMEM, or related pharmacometrics tools
• An agile mindset with the ability to prioritize and adapt across multiple projects
• Excellent communication, collaboration, and presentation skills

Interested in shaping the future of Pharmacometrics through AI and ML? This role offers the opportunity to lead scientifically, influence strategy, and work across global development programs.