Engineer Jobs

About The Position

Requirements

• 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 focus on reliability, reproducibility, data quality, and attention to detail.
• Strong systems thinking and 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.
• Strong ability to communicate and collaborate with scientists, engineers, and laboratory operators.

Nice To Haves

• Experience or interest in Python, software engineering, APIs, asynchronous programming, and distributed systems.
• Familiarity with PyLabRobot, Hamilton VENUS, Tecan EVOware, Opentrons, SiLA 2, and laboratory instrument APIs.
• Knowledge of laboratory automation, robotics, motion control, industrial automation, and hardware integration.
• Experience with liquid handling, automated plate movement, incubators, robotic arms, and integrated workcells.
• Familiarity with high-throughput screening, high-content imaging, cell culture, sequencing, and mass spectrometry workflows.
• Knowledge of experiment orchestration, scheduling, instrument communication, data capture, and observability.
• Mechanical, electrical, and systems engineering skills for troubleshooting and integrating laboratory equipment.
• Familiarity with laboratory information management systems (LIMS), laboratory execution systems, and experimental data infrastructure.
• Drive to push beyond conventional laboratory automation and develop radically better approaches to experimental science.
• Strong technical curiosity about robotics, software, biology, and drug discovery.

Responsibilities

• Build an automated, high-throughput biology laboratory 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 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 throughput, reproducibility, data quality, and minimal human intervention.
• Transfer and automate advanced biological assays across Axiom’s global network of partner laboratories.