Head of AI-Driven Computational Biology & Discovery

Head of AI-Driven Computational Biology & Discovery

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Barrington James

At a Glance

  • Tasks: Lead AI-driven drug discovery by interpreting complex biological data and guiding experimental validation.
  • Company: Emerging AI-native drug discovery company at the forefront of innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with collaboration opportunities across various scientific disciplines.
  • Why this job: Join a pioneering team and make a significant impact in the future of medicine.
  • Qualifications: Expertise in computational biology, data science, and strong leadership skills.

The predicted salary is between 70000 - 90000 Β£ per year.

Barrington James is partnering with an emerging AI-native drug discovery company to appoint a Head of Computational Biology who will lead the biological interpretation and application of the AI discovery platform. The role sits at the intersection of AI, data science and biology, translating complex datasets into credible drug discovery hypotheses and guiding programmes toward experimental validation with senior stakeholders and external partners.

Head of AI-Driven Computational Biology & Discovery employer: Barrington James

As a Quality Control Scientist in our leading pharmaceutical/biotech QC laboratory, you will thrive in a collaborative team environment that prioritises scientific excellence and compliance with GMP standards. We offer competitive day rates and the opportunity to enhance your skills in microbiology and quality control testing, ensuring your professional growth in a fast-paced and regulated setting.

Barrington James

Contact Details:

Barrington James Recruitment Team

We think you need these skills to ace Head of AI-Driven Computational Biology & Discovery

AI and Machine Learning
Computational Biology
Data Science
Biological Interpretation
Drug Discovery
Hypothesis Generation
Experimental Validation