About this role
About Turing
Turing is one of the world’s leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.
Role Overview
We are seeking experienced Computational Protein Design experts to explore and evaluate advanced generative AI approaches for protein engineering as part of a frontier AI scientific evaluation initiative.
In this role, you will develop challenging scientific evaluation tasks involving de novo protein generation, diffusion-based structure design, protein binder development, and sequence–structure optimization. You will independently conduct computational experiments, evaluate AI-generated protein designs, and develop reproducible benchmarks and technical proof-of-concept results to assess the capabilities and limitations of generative AI models in protein engineering.
What you'll do
- Design scientifically rigorous evaluation tasks involving de novo protein design, target-conditioned binder generation, motif scaffolding, and sequence–structure optimization.
- Develop and execute computational protein design workflows using generative AI models, diffusion-based approaches, and established protein engineering tools.
- Define task inputs, biological constraints, expected outputs, evaluation criteria, and reproducible experimental protocols.
- Evaluate AI-generated protein sequences and structures for folding confidence, structural stability predictions, geometric validity, interface quality, novelty, and biological plausibility.
- Analyze protein folding, sequence–structure relationships, and protein–protein interactions to assess the quality and feasibility of generated designs.
- Develop objective scoring rubrics, reference analyses, and computational validation methods to evaluate model performance.