Lab Automation Internship

<p style="min-height:1.5em"><strong>Adaptyv is building an automated lab that lets AI agents run biology experiments. </strong></p><p style="min-height:1.5em">We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world.</p><p style="min-height:1.5em">We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today.</p><p style="min-height:1.5em">Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development.</p><p style="min-height:1.5em">We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation.</p><h2>About the Role</h2><p style="min-height:1.5em">We're scaling our automated lab fast, and the automation team builds and maintains the work cells that make high-throughput biology possible — Hamilton liquid handlers, robot arms, plate readers, BLI/SPR instruments, all orchestrated by LabOS.</p><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><p style="min-height:1.5em">We're looking for a <strong>Lab Automation Intern</strong> to work hands-on with that team in Lausanne: building and running automated protocols, helping bring new instruments online, and keeping production automation healthy. This is a practical, on-site role for someone who likes working where software meets hardware meets wet lab. You'll spend your time at the bench and the keyboard — programming liquid handlers, watching robots run, scripting small integrations, and figuring out why something broke.</p><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><h2>What You'll Do</h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Help build and run automated liquid-handling protocols on our robots (Hamilton STAR and others), controlled in Python with open-source tooling like PyLabRobot / PyHamilton — with guidance from the automation team</p></li><li><p style="min-height:1.5em">Support work-cell operation and maintenance: loading runs, swapping consumables, calibrating instruments, and troubleshooting when something jams or misreadsx</p></li><li><p style="min-height:1.5em">Write real software in Python — instrument drivers, integrations, and tooling that controls hardware and moves data through LabOS, building on open-source libraries like PyLabRobot / PyHamilton</p></li><li><p style="min-height:1.5em">Help reverse-engineer how an instrument talks — capturing its traffic (e.g. with Wireshark or a USB/serial sniffer) so we can control it in code</p></li><li><p style="min-height:1.5em">Run tests on new protocols and instruments, record results carefully, and flag anomalies</p></li><li><p style="min-height:1.5em">Document protocols, work-cell layouts, and fixes so the next person can reproduce them</p></li>&