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 with wet-lab experimental procedures for characterizing protein function.
• Experience using and developing protein design tools.
• Experience in an application area of protein design or protein engineering.

Nice to haves:

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

What you'll be doing:

• Use generative machine learning models to design proteins with novel functions, such as enzymes, for wet-lab testing.
• Develop models and procedures for making in silico predictions of the functions of designed proteins.
• Troubleshoot design failures using domain knowledge of protein design tools and sequence-structure-function relationships.
• Work collaboratively 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:

• Google maintains a portfolio of research projects driven by fundamental research, new product innovation, and infrastructure goals.
• Freedom to emphasize specific types of work.
• Opportunity to contribute to the wider research community through sharing and publishing findings.
• Engage with exceptional interdisciplinary teams focused on advancing AI to solve complex global challenges.
• Varied career pathways and diverse learning opportunities for exceptional results.