Experimental Systems Engineer, Analytical Chemistry

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 ship fast and iterate quickly. Global team, HQs in Cambridge, MA and London, UK. THE ROLE You'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 DO - Design and build prototype systems for monitoring aqueous chemical reaction networks in real time - Work with small CSTRs, flow reactors, microfluidic devices, pumps, valves, tubing, flow cells, and autosamplers - Evaluate analytical technologies including Raman, UV-Vis, fluorescence, IR, NMR, LC-MS, HPLC, electrochemical sensing, and low-cost process probes - Build Python-based tools for data acquisition, instrument control, signal processing, and visualisation - Combine continuous measurements with sampled analytical data to reconstruct the time evolution of chemical mixtures - Work closely with chemists, enzymologists, computational scientists, and ML engineers to turn messy signals into useful data ESSENTIAL EXPERIENCE You'll have some but not necessarily all of the following: - Building experimental hardware or analytical setups with your own hands - Comfort with liquid handling systems: pumps, valves, tubing, flow cells, leaks, bubbles, fouling, and drift - At least some analytical chemistry methods (spectroscopy, chromatography, mass spectrometry, NMR, or electrochemical sensing) - Practical Python for data acquisition, analysis, plotting, and automation - Willingness to move between the wet lab, instrument manuals, notebooks, code, and physical prototyping - Good judgement about when a measurement is meaningful, when it is misleading, and when the setup needs rebuilding HIGHLY PREFERRED - Any of Raman, FTIR, UV-Vis, fluorescence, online NMR, LC-MS, HPLC, or MS workflows - Lab automation: Arduino, Raspberry Pi, LabJack, NI DAQ, serial instrument control, autosamplers, or custom data logging - Building fast prototypes in a startup, academic lab, instrument company, or hardware-heavy research environment LOGISTICS We're able to sponsor visas for the right candidate.