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AstraZeneca

Product Director - Synthetic Modality Drug Discovery

2w

AstraZeneca

Cambridge, GB · Full-time · £120,000 – £160,000

About this role

AstraZeneca has invested heavily in our strategic synthetic drug modality IT platform to deliver better, differentiated candidate drugs into trials faster, expediting benefits for patients. We have created an ecosystem enabling operational and experimental data capture. We developed analytics, AI, and ML services for traditional small molecules and complex modalities.

We seek an exceptional Product Director - Synthetic Modality Drug Discovery for our platform leadership team. This role combines deep domain expertise in chemistry and cheminformatics with product leadership. It includes team management and strategic partnerships across R&D and IT organizations.

In Early Science, highly skilled scientists generate ideas and perform experiments supporting complex drug discovery projects. Our environment drives scientific and technical innovation. It features high diversity in workflows, data, vendor solutions, and in-house builds.

As Product Lead within Augmented Design Make Test Analyse (A-DMTA), translate R&D scientific needs into valuable technology solutions. Line-manage multi-disciplinary teams and drive adoption of novel AI and agentic approaches. Work alongside R&D scientists and software engineers to accelerate innovative medicines.

Requirements

  • Deep domain expertise in chemistry and cheminformatics
  • Product leadership experience
  • Team management capabilities
  • Strategic partnership skills across R&D and IT
  • Knowledge of synthetic drug modality platforms
  • Familiarity with AI, ML, and agentic approaches in drug discovery
  • Understanding of complex drug discovery workflows

Responsibilities

  • Translate R&D scientific needs into valuable technology solutions
  • Line-manage multi-disciplinary teams
  • Drive adoption of novel AI and agentic approaches to drug discovery
  • Evolve and build out unified scientific data and AI platform
  • Develop analytics, AI, and ML services for small molecules and complex modalities
  • Foster strategic partnerships across R&D and IT organizations
  • Enable data capture for operational and experimental workflows