Research Scientist, Protein Design, DeepMind

About the Job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

Responsibilities

• 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.

Qualifications

Minimum qualifications:

• 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

Preferred qualifications:

• 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.