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About the role
- Director of MIDD AI/ML Scientist focusing on AI/ML methodologies for clinical development at GSK. Engage interdisciplinary teams for impactful drug development decisions using advanced analytics.
Responsibilities
- 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.
- 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.
Requirements
- 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
Benefits
- competitive salary
- annual bonus based on company performance
- healthcare and wellbeing programmes
- pension plan membership
- shares and savings programme
- flexible working arrangements
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