Job Description

About the Role

We’re working with a leading AI research team advancing foundational models for drug discovery. They work at the intersection of machine learning, engineering, and computational chemistry to advance the development of novel therapies.

This is a rare chance to lead research on generative modelling of molecular systems, collaborating closely with experts in AI to drive the next wave of scientific breakthroughs.

Your Responsibilities

• Lead cutting-edge research projects focused on generative models for molecular data.
• Apply and adapt the latest deep learning methods from related fields such as language and computer vision.
• Design and run experiments to test new approaches and work alongside engineers to deploy models.
• Publish findings in top-tier AI/ML venues and represent the team at conferences.
• Mentor junior researchers and foster a collaborative research environment.

What We’re Looking For

• Expertise in advanced generative modelling techniques and related advanced ML methods, including denoising diffusion.
• Proven ability to take research from concept to practical implementation independently.
• Strong programming skills and willingness to engage with engineering challenges.

Desirable

• PhD or equivalent experience with publications at major ML conferences.
• Experience with PyTorch and related libraries.
• Familiarity with distributed training and molecular or physics-informed ML models.

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