Description:
Build the software and robotics that power the world's most advanced automated biology lab, generating massive amounts of high-quality experimental data to predict human outcomes with insane accuracy.
About Axiom:
Axiom’s mission is to end unexpected toxicity and make it possible to test drugs in humans rapidly, at massive scale, and without exposing patients to unforeseen risks. We are starting with liver toxicity, one of the leading causes of drug failure. We’ve built an extraordinarily accurate, high-throughput human liver safety platform that combines advanced human cell systems, imaging, transcriptomics, mass spectrometry, and drug metabolism measurements. Our AI agents integrate this experimental 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 redesign it to be safer.
We work with seven of the world’s top twenty pharmaceutical companies to bring these capabilities directly into drug discovery, enabling scientists to design safety into molecules rather than discover toxicities years later. We also partner with leading frontier AI labs to turn our drug discovery expertise and experimental systems into training environments that teach AI models to become superhuman drug hunters. We then deploy these frontier models into applications that extend across all of drug development: making cancer therapies dramatically safer, enabling treatments for chronic diseases that demand exceptional safety, and rescuing promising drugs previously abandoned because of toxicity. Our ultimate ambition is to build a superhuman AI agent that can predict what will happen to a drug in humans before it ever enters a patient.
What you will do:
Build an extraordinarily automated, high-throughput biology lab from the ground up
Develop software to control, orchestrate, and monitor laboratory instruments, robotics, and experimental workflows
Integrate liquid handlers, robotic arms, incubators, imaging systems, sequencers, mass spectrometers, and other scientific instruments into end-to-end automated workflows
Work closely with scientists to translate complex biological assays into reliable, scalable automated protocols
Develop systems for experiment scheduling, execution, monitoring, error recovery, and quality control
Build infrastructure to capture complete experimental records, including instrument commands, metadata, logs, timestamps, and raw data
Optimize laboratory workflows for extreme throughput, reproducibility, data quality, and minimal human intervention
Transfer and automate advanced biological assays across Axiom's global network of partner laboratories
We’re especially interested in:
Python, software engineering, APIs, asynchronous programming, and distributed systems
PyLabRobot, Hamilton VENUS, Tecan EVOware, Opentrons, SiLA 2, and laboratory instrument APIs
Laboratory automation, robotics, motion control, industrial automation, and hardware integration
Liquid handling, automated plate movement, incubators, robotic arms, and integrated workcells
High-throughput screening, high-content imaging, cell culture, sequencing, and mass spectrometry workflows
Experiment orchestration, scheduling, instrument communication, data capture, and observability
Mechanical, electrical, and systems engineering for troubleshooting and integrating laboratory equipment
Laboratory information management systems (LIMS), laboratory execution systems, and experimental data infrastructure
What we look for:
Exceptional coding ability and a strong foundation in software engineering
Ability to bridge software, robotics, hardware, and biology to build complete automated experimental systems
Obsession with reliability, reproducibility, data quality, and a hyper attention to detail
A drive to push beyond conventional laboratory automation to develop radically better approaches to experimental science
Strong systems thinking and the ability to understand and optimize complex end-to-end laboratory workflows
Comfort working hands-on with unfamiliar instruments, debugging hardware, and solving difficult integration problems
Ability to take ambitious projects from concept to fully operational systems with minimal oversight
Obsessive technical curiosity for all things in robotics, software, biology, and drug discovery
Strong ability to communicate and collaborate with scientists, engineers, and laboratory operators
Skills Required
- Exceptional coding ability and a strong foundation in software engineering
- Ability to bridge software, robotics, hardware, and biology to build complete automated experimental systems
- Strong systems thinking and ability to optimize complex end-to-end laboratory workflows
- Hands-on comfort debugging unfamiliar instruments and solving hardware integration problems
- Ability to take ambitious projects from concept to fully operational systems with minimal oversight
- Strong communication and collaboration skills with scientists, engineers, and laboratory operators
- Experience with Python, APIs, asynchronous programming, and distributed systems
- Experience with laboratory automation, robotics, motion control, industrial automation, and hardware integration
- Experience with PyLabRobot, Hamilton VENUS, Tecan EVOware, Opentrons, SiLA 2, or laboratory instrument APIs
- Experience with liquid handling, robotic arms, incubators, integrated workcells, and automated plate movement
- Experience with high-throughput screening, high-content imaging, cell culture, sequencing, or mass spectrometry workflows
- Experience with experiment orchestration, scheduling, instrument communication, data capture, observability, LIMS, or laboratory execution systems
What We Do
Axiom helps scientists eliminate molecular toxicity by providing the most accurate and affordable predictive models. Our proprietary dataset includes more than 100,000 molecules tested in pooled primary human liver cells, tens of thousands of molecules with pharmacokinetic measurements, and thousands of molecules with curated clinical outcome data. Axiom's AI models offer higher accuracy than advanced in vitro systems like 3d spheroids, deep mechanistic understanding which untangles mitochondrial toxicity, ER stress, ROS formation, cytotoxicity, and more, and precise risk assessment for any molecule at relevant clinical dosage and clinical exposure levels. Our models remove the need for costly physical experiments, giving more accurate and cheaper toxicity assessments, and empowering scientists to make better-informed decisions and bring safer drugs to the clinic.
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