Axiombio Scientist, Mass Spectrometry to build and run LC-MS/MS experiments identifying drug metabolites and mechanisms of toxicity. Combine analytical expertise with robotics and AI to generate reliable data for predictive models.
Responsibilities
Own Axiom’s LC-MS/MS operations across targeted and untargeted workflows, including chromatography, UV detection, mass spectrometry, and supporting equipment.
Develop and run reactive-metabolism assays to identify drug metabolites and trapped reactive intermediates, using isotope-labeled controls to verify signals and support structural interpretation.
Design metabolomics experiments that reveal how drugs alter cellular metabolism, connecting measurements with imaging, transcriptomics, and other indicators of toxicity.
Establish proteomics workflows with Axiom’s biology and computational teams, from sample preparation and digestion through peptide separation and LC-MS/MS acquisition.
Generate high-quality reference datasets from pure compounds and controlled mixtures, varying concentrations, matrices, chromatography, and fragmentation conditions to test molecular identification and quantification.
Develop and qualify methods with rigorous controls, calibration, and acceptance criteria for sensitivity, selectivity, reproducibility, carryover, and matrix effects.
Partner with computational scientists to turn experiments into benchmarks and training environments with experimentally verified answers that teach AI agents to interpret spectra, resolve mixtures, and investigate toxicity.
Work with engineers to integrate agents into real-time QC, adaptive acquisition queues, method optimization, and lab-in-the-loop experiments.
Maximize instrument uptime through preventive maintenance, troubleshooting, user-serviceable repairs, consumables management, and coordination with service engineers.
What we look for:
Exceptional hands-on LC-MS/MS expertise, with a deep understanding of chromatography, ionization, fragmentation, and targeted and untargeted analysis.
Experience developing and running reactive-metabolism, metabolomics, or proteomics experiments, with the ability to master unfamiliar workflows.
