LC-MS/MS Scientist: Metabolomics, Proteomics & AI

Digitailor; South San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Axiom is seeking a senior LC‑MS/MS scientist to lead high‑throughput assays for identifying drug metabolites and understanding toxicity mechanisms. You will develop reactive‑metabolism workflows, integrate data with imaging and transcriptomics, and support AI‑driven interpretation of spectra.

Ideal candidates have deep LC‑MS/MS expertise, experience in metabolomics/proteomics, and a track record of rigorous method validation, maintenance, and cross‑functional collaboration across analytical

Qualifications

• Extensive hands-on LC-MS/MS expertise, including UHPLC, MS/MS fragmentation.
• Experience in reactive‑metabolism, metabolomics, or proteomics workflows.
• Strong experimental design and data interpretation skills.
• Ability to design robust controls, calibration, and validation studies.
• Aptitude for troubleshooting instruments and maintaining data quality.

Responsibilities

• Own LC-MS/MS operations across targeted and untargeted workflows.
• Develop metabolomics and proteomics experiments to reveal mechanisms of toxicity.
• Collaborate with biology and computational teams to build benchmarks for AI agents.
• Maintain instrument uptime and coordinate with service engineers for preventive maintenance.
• Support automation and QC integration with engineering for in‑loop acquisition.

Skills

LC-MS/MS expertise

Reactive‑metabolism

Metabolomics

Proteomics

Troubleshooting

Experiment design

Data quality control

Automation with AI QC

Cross‑disciplinary collaboration

Documentation

Education

PhD in Analytical Chemistry

Tools

MZmine

OpenMS

MS-DIAL

Skyline

SIRIUS

Python

R

Job description

Axiom is seeking a senior LC‑MS/MS scientist to lead high‑throughput assays for identifying drug metabolites and understanding toxicity mechanisms. You will develop reactive‑metabolism workflows, integrate data with imaging and transcriptomics, and support AI‑driven interpretation of spectra.

Ideal candidates have deep LC‑MS/MS expertise, experience in metabolomics/proteomics, and a track record of rigorous method validation, maintenance, and cross‑functional collaboration across analytical