Experimental Systems Engineer, Analytical Chemistry

About usWe're reverse-engineering the origin of life - one of the great unsolved problems in science, and one we think AI finally makes tractable. 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 experimental hardware or analytical setups with your own handsComfort with liquid handling systems: pumps, valves, tubing, flow cells, leaks, bubbles, fouling, and driftAt least some analytical chemistry methods (spectroscopy, chromatography, mass spectrometry, NMR, or electrochemical sensing)Practical Python for data acquisition, analysis, plotting, and automationWillingness to move between the wet lab, instrument manuals, notebooks, code, and physical prototypingGood judgement about when a measurement is meaningful, when it is misleading, and when the setup needs rebuildingHighly preferredAny of Raman, FTIR, UV-Vis, fluorescence, online NMR, LC-MS, HPLC, or MS workflowsLab automation: Arduino, Raspberry Pi, LabJack, NI DAQ, serial instrument control, autosamplers, or custom data loggingBuilding fast prototypes in a startup, academic lab, instrument company, or hardware-heavy research environmentLogisticsCompensation is highly competitive.

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