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 Axiom’s automated biology lab from the ground up, owning the software and integrations that turn individual instruments into a reliable, high-throughput experimental platform. Build the software that controls laboratory instruments and robotics and coordinates experiments from sample preparation through data collection. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong Python and software engineering skills, including API design, asynchronous programming, and distributed systems
- Experience with laboratory automation platforms and interfaces such as PyLabRobot, Hamilton VENUS, Tecan EVOware, Opentrons, SiLA 2, and instrument APIs
- Experience integrating robotics, motion control, and laboratory hardware into reliable automated systems
- Hands-on experience with liquid handlers, automated plate transport, incubators, robotic arms, and integrated workcells
- Familiarity with workflows such as high-throughput screening, high-content imaging, cell culture, sequencing, and mass spectrometry
- Experience building systems for experiment orchestration, resource scheduling, instrument communication, data capture, and monitoring
More about this role
Build Axiom’s automated biology lab from the ground up, connecting robotics, instruments, and software into a reliable, high-throughput experimental platform. Work directly with scientists and ML researchers to turn complex biological assays into context for agents to accurately predict human drug outcomes.
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...
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