Head of Computational Drug Discovery & AI Innovation

Head of Computational Drug Discovery & AI Innovation

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Pure Resourcing Solutions Limited

At a Glance

  • Tasks: Lead the computational group and shape strategy in drug discovery projects.
  • Company: Science-led drug discovery company in the UK with a focus on innovation.
  • Benefits: Competitive salary, career advancement, and collaborative work environment.
  • Other info: Join a dynamic team driving innovation in healthcare.
  • Why this job: Make a real impact in drug discovery using AI and computational science.
  • Qualifications: Experience in computational science and leadership skills required.

The predicted salary is between 63000 - 77000 Β£ per year.

Pure Resourcing Solutions Limited is recruiting a senior Computational Scientist to lead the computational group within a science-led drug discovery company in the UK.

You will shape computational strategy, stay embedded in live projects, and drive data-driven decision making from hit identification through to candidate nomination.

The role combines hands-on computational work with leadership, collaborating with medicinal chemistry, biophysics and biology teams.

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Head of Computational Drug Discovery & AI Innovation employer: Pure Resourcing Solutions Limited

At Pure Resourcing Solutions Limited, we pride ourselves on being an exceptional employer that champions innovation and operational excellence within the charity sector. Our hybrid work culture in Heathfield promotes flexibility and collaboration, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills in cloud technology and cyber security. Join us to make a meaningful impact and be part of a team dedicated to driving positive change.

Pure Resourcing Solutions Limited

Contact Details:

Pure Resourcing Solutions Limited Recruitment Team

We think you need these skills to ace Head of Computational Drug Discovery & AI Innovation

Computational Science
Leadership
Data-Driven Decision Making
Collaboration
Medicinal Chemistry Knowledge
Biophysics Knowledge
Biology Knowledge