Director, MIDD AI​/ML Scientist

Role Summary

The Director, MIDD AI/ML Scientist leads practical application of emerging AI/ML and hybrid AI/ML-Pharmacometrics methodologies to projects across RIIRU, supporting a wide range of clinical development decisions. The role involves collaborating with Clinical Pharmacology leads and cross-functional teams to integrate diverse biomedical data into hybrid AI/ML-Pharmacometrics approaches, conducting stakeholder engagement, identifying impactful modelling opportunities, planning analyses, executing analyses and communicating results and impact.

This position is an excellent entry point for experienced quantitative scientists with a background in AI/ML, drug development and Pharmacometrics/QSP looking to apply those techniques to benefit patients at the frontier of medicine.

• Manage stakeholder engagement:
  Proactively interact with stakeholders, line and middle management, staff and external contacts on a functional and tactical level. Tactically 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. This will cover developing analysis plans, conducting analyses and communicating interim/final results.
• Contribute to our capabilities:
  Engage with academic groups and external vendors supporting joint internal-external projects and remaining abreast of cutting-edge methods. Identify best practices, trends, learnings, etc from internal and external sources and disseminate.
• 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.

• Required:
  
  PhD (or equivalent) in AI/ML or related quantitative fields or in Life Sciences.
• Required:
  
  Strong foundation and experience in building and applying AI/ML models.
• Required:
  
  Strong foundation and experience in statistics and/or pharmacometrics / quantitative clinical pharmacology.
• Required:
  
  Strong industry drug development experience, working within teams.
• Required:
  
  Experience coding AI/ML pipelines in Python/Pytorch or Julia/Pumas.
• Required:
  
  Strong interest and experience in promoting hybrid AI/ML-pharmacometrics expertise. Developing people and processes.
• Required:
  
  Excellent collaboration and communication skills (written, verbal and presentation), with experience working in interdisciplinary teams.
• Preferred:
  Direct pharmacometric project experience.
• Preferred:
  Direct experience applying AIML approaches for longitudinal data and/or SciML approaches.
• Preferred:
  Familiarity with the application of agentic AI to enhance novel process integration.