We believe that understanding this transition, from geochemistry to biochemistry, will let us orchestrate molecular networks and build systems that are more capable, adaptive, efficient, and intelligent.
If we succeed, the applications are vast: from catalysis and green synthesis to ab initio synthetic biology and programmable matter.
Understanding and harnessing these processes could let ten billion of us thrive on this planet — and let us dream that diverse life keeps evolving and thriving 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 build new ways of watching chemistry happen — liquid-phase reaction networks, enzymatic and not, evolving in real time.
This role suits people who build things and figure things out: prototype a measurement setup, learn fast whether it tells you anything trustworthy, keep it or bin it.
What you'll doDesign and build prototype systems for monitoring aqueous chemical reaction networks in real timeWork with small CSTRs, flow reactors, microfluidic devices, pumps, valves, tubing, flow cells, and autosamplersEvaluate analytical technologies including Raman, UV-Vis, fluorescence, IR, NMR, LC-MS, HPLC, electrochemical sensing, and low-cost process probesBuild Python-based tools for data acquisition, instrument control, signal processing, and visualisationCombine continuous measurements with sampled analytical data to reconstruct the time evolution of chemical mixturesWork closely with chemists, enzymologists, computational scientists, and ML engineers to turn messy signals into useful dataEssential experienceYou'll have some but not necessarily all of the following:Building experiment.