Dayhoff Labs - Experimental Systems Engineer, Analytical Chemistry

Cambridge, MA; London, UK3mo ago

In Office EMEA Logistics Systems Engineer Python Liquid

Requirements

• 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 • 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 • Compensation is highly competitive. We're also able to sponsor visas for the right candidate.

Responsibilities

• 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

Benefits

• Tell us about a system, instrument, rig, software, experiment or analysis you built. Describe any problems you had and explain how you fixed them. • E.g., home page, project where you were a main contributor