23 days ago
Lausanne, SwitzerlandMid Level
Responsibilities
- Build orchestration software coordinating liquid handlers, plate readers, incubators, and robot arms.
- Develop instrument drivers and APIs by reverse-engineering serial, USB, and TCP/IP protocols.
- Model and execute complex multi-step laboratory protocols across multiple instruments.
- Implement retries, skips, alerts, pauses, and other error-recovery behavior for failed runs.
- Create monitoring and observability for instrument status, run progress, error rates, and work-cell health.
- Debug problems across communications, firmware, calibration, hardware, and software.
- Collaborate with lab automation engineers, software engineers, and production scientists.
Requirements
- Write production-quality, maintainable Python and/or TypeScript.
- Be comfortable developing software for physical devices, reading protocol specifications, debugging unreliable connections, and reasoning about timing.
- Demonstrate strong software engineering skills and a reliability-focused approach for 24/7 laboratory operations.
- Be able to work independently and define what needs to be built from real laboratory operations.
- Be comfortable using coding agents such as Claude Code and exercising judgment about their output.
- Lab automation experience or familiarity with PyHamilton, PyLabRobot, Opentrons, robotics, industrial automation, IoT, or embedded systems is preferred.
- Experience with electronics, microcontrollers, or 3D printers is a bonus.
- A biology background is not required.
Benefits
- Full-time position based on-site in Lausanne, Switzerland, with hands-on access to physical instruments.
- ASAP start date.
- Applications are reviewed on a rolling basis.
Tech Stack
Categories
About Adaptyv
Adaptyv Bio builds an automated protein foundry—an AI-driven lab that lets software agents run biology experiments—to synthesize and test custom-designed proteins for R&D teams in biotech and pharma. Customers use its platform to submit designs and receive expression and functional data for protein engineering. The company is privately held and headquartered in Lausanne, Switzerland.