Understanding this transition, from geochemistry to biochemistry, is what will let us orchestrate molecular networks and build systems that are more capable, adaptive, and efficient.
If we succeed, the applications are vast: catalysis, green synthesis, ab initio synthetic biology, programmable matter.
Understanding and harnessing these processes could let ten billion of us thrive on this planet — and let life keep evolving beyond it.
We're a small, diverse team of AI engineers, computational scientists, and bench scientists.
We hold ourselves to the rigor of a research institute, but we ship like an engineering firm.
Global team, HQs in Cambridge, MA and London, UK.
The roleYou'll engineer proteins to carry out useful chemistry, combining enzyme discovery, directed evolution, and experimental characterisation.
You'll own the experimental cycle: choosing starting points, building variant libraries, developing screens, and establishing which changes improve function and why.
This is a hands-on role working closely with our computational and ML teams.
You'll test designed proteins at the bench, use experimental results to guide subsequent rounds, and develop enzymes with the activity, selectivity, and stability needed for their intended application.
There’s no fixed screening pipeline to inherit — you'll help decide how we build it.
What you'll doDesign and run protein engineering campaigns, from initial enzyme selection and library design through screening and characterisation of improved variants.
Build and express variant libraries using site-directed, random, and combinatorial mutagenesis.
Express, purify, and characterise proteins, measuring kinetics, substrate scope, selectivity, and stability under relevant reaction con.