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.
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
