Research Scientist, Protein Design, Deepmind

Google Google · Big Tech · London, United Kingdom

Research Scientist at Google DeepMind focused on applying generative machine learning models to design proteins with novel functions. The role involves building models for in silico predictions, resolving design failures, and identifying high-impact research directions in protein design. Requires a PhD in a relevant field and experience with protein design tools and analyzing wet-lab measurements.

What you'd actually do

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

Skills

Required

  • PhD in Protein Design/Engineering, Machine Learning, Structural Biology, or similar
  • 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 have

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

What the JD emphasized

  • generative machine learning models
  • protein design tools

Other signals

  • generative machine learning models
  • design proteins
  • in silico predictions
  • protein design tools