Research Scientist, Protein Design, DeepMind

Requirements:

• PhD in a relevant field (Protein Design/Engineering, Machine Learning, Structural Biology, or similar) or equivalent practical experience.
• 2 years of experience using and developing protein design tools.
• Experience in an application area of protein design or protein engineering.
• Experience analyzing wet-lab measurements of protein function.

Nice to haves:

• 2 years of post-PhD research experience.
• Experience in any of the following: mechanistic enzymology, biocatalysis, computational chemistry.
• Experience performing experiments to characterize protein function.
• Excellent computational, quantitative reasoning, and technical communication skills.

What you'll be doing:

• Apply generative machine learning models to design proteins with novel functions, such as enzymes, for wet-lab testing.
• Build models and procedures for making in silico predictions of the functions of designed proteins.
• Resolve design failures by applying domain knowledge of protein design tools and sequence-structure-function relationships.
• Collaborate with teammates from scientific backgrounds to improve and expand the capabilities of protein design tools.
• Identify high-impact research directions in protein design method development and applications.

Perks and benefits:

• Exciting opportunity to work at Google DeepMind.
• Located in London, UK.
• Contribute to cutting-edge AI research with global impact.
• Publish and share research findings with the wider scientific community.
• A chance to work on real-world problems in various domains of computer science.