Founding Robotics & Automation Engineer
Axiom
- Location
- South San Francisco, CA
- Work style
- On-site
- Job type
- Full time
- Posted
- Oct 26
- 1 day ago
Career path
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About the company
Axiom
Biotechnology · 2 to 10 employees
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'll do
- Build an extraordinarily automated, high-throughput biology lab from the ground up
- Develop software to control, orchestrate, and monitor instruments, robotics, and workflows
- Integrate scientific instruments into end-to-end automated workflows
- 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 and raw data
- Optimize laboratory workflows for throughput, reproducibility, data quality, and minimal human intervention
- Transfer and automate advanced biological assays across partner laboratories
What you need
- Exceptional coding ability and a strong foundation in software engineering
- Ability to bridge software, robotics, hardware, and biology
- Strong systems thinking and ability to optimize complex laboratory workflows
- Comfort working hands-on with unfamiliar instruments and debugging hardware
- Ability to take ambitious projects from concept to operational systems with minimal oversight
- Strong ability to communicate and collaborate with scientists, engineers, and laboratory operators
- Python, software engineering, APIs, asynchronous programming, and distributed systems
Key skills
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