Research Scientist, Protein Design & Engineering
Description
About us
We're reverse-engineering the origin of life — one of the great unsolved problems in science, and one we think AI finally makes tractable. 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 rigour of a research institute, but we ship like an engineering firm. Global team, HQs in Cambridge, MA and London, UK.
The role
You'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 do
Design 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
Develop assays and high-throughput screens that reliably measure the properties we're trying to improve
Express, purify, and characterise proteins, measuring kinetics, substrate scope, selectivity, and stability under relevant reaction conditions
Work with computational scientists to test proposed designs, interpret successes and failures, and use the results to guide the next round
Develop enzymatic reactions and cascades, identifying how enzyme performance, cofactors, and reaction conditions affect overall productivity
Essential experience
We're interested in the engineering campaigns you've run, the assays you've built, and what you learned from them. We care about:
A track record of improving protein or enzyme function through directed evolution or rational engineering
Practical fluency in molecular biology, including cloning, library construction, mutagenesis, and recombinant protein expression
Experience developing and troubleshooting enzyme assays and screening workflows, with appropriate controls and follow-up validation
A solid grasp of enzyme mechanism, kinetics, and structure–function relationships, and the ability to use these to guide experiments
Experience independently taking projects through multiple design–build–test cycles and explaining what drove the results
Highly preferred
Experience with industrial biocatalysis or engineering enzymes for demanding reaction conditions
Experience integrating liquid handling and laboratory automation with high-throughput screening
Familiarity with biosensor-based screens, growth-based selection, or FACS
Experience testing computationally designed proteins and feeding experimental results back into design
Experience with enzyme cascades, fermentation, or transferring enzymatic processes from the bench to larger scales
Logistics
We're able to sponsor visas for the right candidate.
Skills
As published by ashby · 7 questions · 2 written answers
Basics
Name, Email, Resume
Short answers (4)
- Country of residence
- GitHub URL optional
- Publications (e.g. Google Scholar) URL optional
- Any other relevant link optional
Pick from a list (1)
- Are you currently based in, or willing to relocate to, London, UK, Cambridge, MA, or Houston, TX?
Written answers (2)
- Why do you want to work at Dayhoff?
- Describe a protein engineering campaign you personally drove. What property were you trying to improve, how did you design the library and screen, and how did you confirm that your best variants represented a genuine improvement?