Manager / Associate Director, MIDD AI/ML Scientist

This role presents a compelling opportunity for quantitative scientists with a strong foundation in AI/ML to forge a career at the cutting edge of drug development. The Manager / Associate Director, MIDD AI/ML Scientist position within Clinical Pharmacology Quantitative Medicine (CPQM) is designed for individuals eager to apply and advance emerging AI/ML and hybrid AI/ML-Pharmacometrics methodologies to a wide spectrum of critical clinical development decisions.

Key Advantages for Candidates:

• Pioneering Technology: You will be at the forefront of integrating advanced AI/ML and mechanistic modeling (hybrid AI/ML-Pharmacometrics) to enhance predictive capabilities in drug development. This includes working with novel data types like imaging, biomarkers, OMICs, digital endpoints, and real-world data.
• Impactful Role: This position directly contributes to efficient, end-to-end development of transformative medicines, impacting patient lives by informing crucial decisions on dose, endpoint, population selection, and clinical trial design.
• Career Growth & Development: The role is positioned as an excellent entry point for quantitative scientists looking to specialize at the AI/ML-pharmacometrics interface. You'll have opportunities to develop expertise, contribute to capability building through academic and external collaborations, and drive awareness of these cutting-edge methods.
• Cross-Functional Collaboration: You will collaborate extensively with Clinical Pharmacology leads, Quantitative Systems Pharmacology (QSP) modellers, statisticians, and digital/imaging experts, fostering a rich, interdisciplinary learning environment.
• External Influence: There are opportunities to represent GSK's impact in AI/ML for drug development through conference presentations, posters, and scientific publications.
• Comprehensive Benefits: GSK offers a competitive compensation package including salary, annual bonus, healthcare, wellbeing programs, pension, and shares/savings plans.
• Flexible Work Environment: The "Performance with Choice" program provides a hybrid working model, offering flexibility to balance remote and in-office work.

Key Considerations for Candidates:

• Academic Foundation: A PhD (or equivalent) in AI/ML or related quantitative fields is a prerequisite, alongside a strong foundation in AI/ML, statistics, or pharmacometrics/quantitative clinical pharmacology.
• Technical Proficiency: Demonstrated experience coding AI/ML pipelines in Python/Pytorch or Julia/Pumas is essential.
• Passion for Innovation: A genuine and strong interest in developing expertise at the AI/ML-pharmacometrics interface is crucial for success and growth in this role.
• Collaborative Spirit: Excellent collaboration and communication skills are vital, given the interdisciplinary nature of the work and the need to engage with diverse stakeholders.
• Desirable Experience: While not mandatory, prior pharmacometrics experience, experience with AI/ML for longitudinal data, use of LLMs or agentic AI, and experience developing hybrid AI/ML-pharmacometrics processes would be highly beneficial.

This role is ideal for ambitious, data-driven scientists who are passionate about leveraging the power of AI and advanced modeling to revolutionize drug development and make a tangible difference in global health. If you are looking to contribute to a purpose-driven organization that values innovation, collaboration, and employee growth, this opportunity warrants serious consideration for your career path.