Computational Scientist (Mass Spectrometry)

About the Company

Axiom is building a compounding ecosystem to replace animal testing and, over time, reshape how clinical trials are run. The company focuses on solving drug-induced liver injury through an integrated data and agentic system used by top pharma companies and innovative biotechs.

Responsibilities

• Own major parts of Axiom’s computational mass spectrometry stack
• Analyze large-scale biological mass spectrometry datasets (LC-MS/MS) across metabolomics, lipidomics, proteomics, and reactive metabolite workflows
• Build, improve, and scale computational pipelines for untargeted LC-MS/MS analysis using tools like MZmine, OpenMS, MS-DIAL, GNPS, or Skyline
• Develop workflows for peak detection, alignment, normalization, annotation, and batch correction
• Turn raw mass spec data into model-ready representations for machine learning systems
• Collaborate with biology, chemistry, ML, and engineering teams to design and improve high-throughput assays
• Extract actionable biological insights such as pathway-level changes and metabolic signatures
• Develop quality control systems for high-throughput datasets to manage instrument performance and batch effects
• Investigate how mass spec data can explain model errors or reveal missing biology

Requirements

• Experience building computational workflows for untargeted LC-MS/MS metabolomics
• Deep understanding of mass spec data challenges including missingness, batch effects, adducts, and retention time drift
• Ability to move from raw files to biological interpretation
• Strong reasoning skills regarding metabolism, pathway disruption, and lipid biology
• Experience working closely with wet lab scientists to improve experimental design
• Proficiency in using mass spectrometry data to answer complex biological questions