Europe Arbeitnow ·
full-timeResearch Scientist, Computational Enzymology
Dayhoff Labs · Cambridge, MA
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 rigor of a research institute, but we ship like an engineering firm. Global team, HQs in Cambridge, MA and London, UK. The role You'll simulate enzyme-catalysed reactions from the physics up. Using reactive and free-energy methods you'll map how reactions proceed in the active site, compute transition states and barriers, and work out where the catalysis actually comes from: why a step has the barrier it does, which residues do the work, and how mutations move it. You'll work with the wider simulation and ML teams, but also directly with our bench scientists — seeing your predictions tested in vitro and getting experimental feedback on fast, tight loops. What you'll do Characterise mechanisms, transition states, and activation barriers in the active site, and compare computed barriers against measured kinetics Pin down the origins of catalysis — the residues, interactions, and dynamics that set rate and selectivity — and use MD to understand how active-site motion shapes the reaction Turn results into concrete, testable proposals for the wet lab, and fold the resulting data back into your models Help physics-based and learned methods strengthen each other as we build them out Essential experience . Expertise in enzymatic reaction modelling using QM/MM and a variety of free energy methods A solid grasp of enzyme catalysis: mechanism, kinetics, cofactors, and how active-site chemistry and conformational dynamics sets rate and selectivity Sound judgement about method selection, good understanding o methodological limitations and computational cost Highly preferred Experience in protein design for enzymatic optimization You've run design–test–refine cycles with a wet lab before Experience with reactive machine-learned potentials, or coupling physics-based modelling with ML Logistics Compensation is highly competitive. We're also able to sponsor visas for the right candidate. Find Jobs in United Kingdom on Arbeitnow
| Role | Research Scientist, Computational Enzymology |
|---|---|
| Company | Dayhoff Labs |
| Location | Cambridge, MA |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4More at Dayhoff Labs
Other jobs at Dayhoff Labs
- Research Scientist, Synthetic Organic Chemistry · Cambridge, MA
- Research Scientist, Protein Design & Engineering · Cambridge, MA
Explore Related Placements
// similar opportunities
You might also like
Research Scientist, Protein Design & Engineering
Dayhoff Labs
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. Understandin...
Research Scientist, Synthetic Organic Chemistry
Dayhoff Labs
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. Understandin...
Research Scientist, Life Sciences (computational Chemistry)
Anthropic
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for s...
Scientist I, Platform Innovation
Basecamp Research
About us Basecamp Research is building frontier AI for therapeutic design. We believe the future of medicine lies in reprogramming the body to repair itself, an...
Senior Optical Research Scientist
Comind
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be he...
Senior Research Scientist (m/f/d)
Sereact Gmbh
Who We Are: We are a rapidly growing embodied AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we ...