Axiom provides frontier intelligence for human drug toxicity, helping scientists reduce unexpected toxicity earlier and develop safer medicines with less animal testing. Backed by Amplify Partners.
About the role
Build and run Axiom’s laboratory operations, enabling scientists and robotics engineers to generate massive, exceptionally high-quality datasets for AI models that predict human drug outcomes. Help bring our new lab online, coordinating equipment installation, utilities, vendor services, commissioning, and operational readiness across cell culture, imaging, automation, and mass spectrometry. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Laboratory operations: Procurement, inventory management, demand forecasting, vendor coordination, budgeting, and laboratory setup
- Automation and throughput: Liquid handlers, robotic arms, automated incubators, plate logistics, and integrated workcells
- Cell culture operations: Aseptic technique, primary human cells, multicellular systems, cryogenic storage, and contamination prevention
- Instrument reliability: Equipment commissioning, preventive maintenance, calibration, troubleshooting, and service management
- Scientific workflows: High-throughput screening, high-content imaging, cell-based assays, and LC-MS sample preparation
- Sample and data traceability: LIMS, electronic lab notebooks, barcode systems, compound and reagent tracking, and experimental metadata
More about this role
Build and run the laboratory operations that enable the generation of massive, high-quality experimental datasets for AI agents that predict human drug outcomes. Own the systems, equipment, supplies, and processes that keep advanced cell biology and automated workflows running reliably at scale.
Axiom’s mission is to eliminate unexpected drug toxicity and unlock an abundance of ultra safe medicines. We are starting with the liver, where toxicity remains a leading cause of drug failure. Our high-throughput human liver safety platform combines advanced human cell systems with imaging, transcriptomics, mass spectrometry, and drug metabolism measurements. Our AI agents integrate these data with chemical structure, human exposure, and thousands of clinical reference compounds to predict whether a drug will be toxic in humans, why, and how to make it safer.
We work with seven of the world’s top twenty pharmaceutical companies to design safety into molecules from the earliest stages. This applied work feeds directly into our partnerships with leading frontier AI labs, turning real discovery challenges and experimental feedback loops into scientific skill trees and reinforcement learning...
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