Senior Biologics AI Research Investigator in Cambridge

Senior Biologics AI Research Investigator in Cambridge

Cambridge Full-Time 90000 - 110000 $ / year (est.) On-site
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At a Glance

  • Tasks: Design innovative large molecule therapeutics using AI and collaborate with diverse teams.
  • Company: Isomorphic Labs, a leader in AI-driven drug design.
  • Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
  • Other info: Exciting environment with potential for impactful research and career advancement.
  • Why this job: Join a pioneering team and make a real difference in drug discovery.
  • Qualifications: Expertise in biology and data science with strong collaboration skills.

The predicted salary is between 90000 - 110000 $ per year.

Isomorphic Labs in Australia seeks a Senior Research Investigator to join our Computational Sciences team, specialising in Biologics.

You will contribute to designing novel large molecule therapeutics using our AI drug design engine, requiring a rare blend of biology and data science.

You will collaborate with internal and external stakeholders to drive early discovery through candidate selection, advancing toward the clinic.

Senior Biologics AI Research Investigator in Cambridge employer: ONE NUCLEUS

The Babraham Institute is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As a charity dedicated to advancing life sciences, employees benefit from a culture that prioritises professional growth and impactful research, all while being part of a community that values wellbeing and knowledge exchange. Located in a vibrant research hub, the Institute provides unique opportunities to engage with industry leaders and contribute to meaningful projects that enhance lives.

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Contact Details:

ONE NUCLEUS Recruitment Team

We think you need these skills to ace Senior Biologics AI Research Investigator in Cambridge

Biology
Data Science
AI Drug Design
Large Molecule Therapeutics
Collaboration Skills
Candidate Selection
Early Discovery