Internship Bioengineering / Molecular Biology

Adaptyv Bio

Adaptyv is building an automated lab that lets AI agents run biology experiments. 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. 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. 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. We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE 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. We're looking for a Lab Automation Intern 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. WHAT YOU'LL DO * 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 * Support work-cell operation and maintenance: loading runs, swapping consumables, calibrating instruments, and troubleshooting when something jams or misreadsx * 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 * 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 * Run tests on new protocols and instruments, record results carefully, and flag anomalies * Document protocols, work-cell layouts, and fixes so the next person can reproduce them * Pitch in on the physical side — wiring up a new device, organizing the work cell, prepping plates and reagents for automated runs WHAT WE'RE LOOKING FOR * Currently enrolled in or recently graduated from a Bachelor's or Master's in engineering, robotics, mechatronics, computer science, bioengineering, or a related field * A generalist maker — you like building things, taking them apart, and figuring out why they don't work, across software, electronics, and mechanics * Self-starter — you spot what needs doing and get on with it, rather than waiting to be told * Solid software skills. This is a software-heavy role, not a lab-assistant gig. You write real Python — you can build a driver, structure code others can read, work with APIs and Git, and debug your way through someone else's library * AI-native. It's 2026 — you build with coding agents. You use Claude Code (or similar) to write, debug, and ship software faster than you could by hand, and you're hungry to push how far that goes * Organized and reliable — you keep good notes and don't let things slip through the cracks * A background in biology isn't required, but you should find it genuinely cool that we're teaching robots to run biology experiments * Bonus: any maker / hacker experience — 3D printing and CAD, electronics and soldering, microcontrollers (Arduino, Raspberry Pi, ESP32), machining, robotics, or lab automation. Using or contributing to open-source projects (PyLabRobot, PyHamilton, Opentrons, or anything else) is a big plus. DETAILS * Location: Lausanne, Switzerland (on-site) * Commitment: Full-time internship, minimum 3 months (longer preferred) * Start date: ASAP We review applications on a rolling basis. Application deadline We are reviewing applicants on a rolling basis.

Adaptyv Bio

Adaptyv is building an automated lab that lets AI agents run biology experiments. 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. 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. 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. We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Business Operations Intern or Working Student to join our operations team in Lausanne. This is a hands-on generalist role where you will work directly with the founders and operations team on practical projects across the company. This role requires high agency and an entrepreneurial mindset. You should be comfortable switching between different types of work and taking ownership. WHAT YOU'LL DO * Use AI tools to improve workflows that are still too manual, messy, or slow * Help onboard new customers to our platform * Support finance administration * Coordinate with suppliers and service providers * Assist with lab expansion logistics related to our new lab in Lausanne * Support events, customer visits, and internal company coordination * Build lightweight tools and automations using Claude Code, Python, Notion, no-code tools, or whatever gets the job done WHAT WE'RE LOOKING FOR * Currently enrolled in or recently graduated from a Bachelor's or Master's program. A background in biology is not a hard requirement. If you're coming from a different field, a genuine interest in the life sciences is important to us. * Entrepreneurial and self-directed. You spot problems before anyone asks and take action * Strong with AI tools, especially Claude Code or Codex. You use them to build real workflows, not just draft emails * Hands-on, organized, and reliable. You follow through, keep things tidy, and don't let things fall through the cracks * You thrive in a dynamic role where priorities can change quickly, and you are comfortable jumping between projects, responsibilities, and urgent operational needs DETAILS * Location: Lausanne, Switzerland (on-site) * Commitment: Minimum 3 months, minimum 16 hours per week (Working Student), or Full Time (Internship) * Start Date: ASAP Application deadline We are reviewing applicants on a rolling basis.

Adaptyv Bio

Adaptyv is building an automated lab that lets AI agents run biology experiments. 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. 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. 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. We’re growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is an internship for an exceptional student or early-career builder — your shot to do the most serious work of your life so far, on a small team where interns own real problems. Building an automated lab throws off an endless stream of problems, and they don't respect job titles. One week it's a gnarly data pipeline, the next a misbehaving instrument, a model that needs evaluating, or a supplier bottleneck blocking production. We'll point you at the ones that fit you, give you a senior person to learn from, and expect you to make a real dent. The goal is simple: create obvious, measurable value. Do that, and this doesn't have to end as an internship — if you're good, you stay.   WHAT YOU MIGHT WORK ON Depending on where you're strongest and where we need you, any of: * Software / ML — internal tools, data pipelines, automation scripts, model evaluation, agents. * Lab automation — getting instruments talking, debugging work cells, building hardware glue. * Biology — hands-on in the lab, supporting and improving production workflows. * Operations / logistics — untangling supplier, inventory, or process bottlenecks. You'll go deep on one or two of these — not all. We care that you're excited the list is this wide and that you learn new domains fast.   WHAT WE'RE LOOKING FOR * A student or recent grad — or someone early in their path who hasn't found the right box yet. This is explicitly an early-career role. * Show us something you've built. A project, repo, paper, hack, side business, competition win — proof you make things and don't wait for permission. A strong application leads with this, not with your transcript. * Quick on your feet. You walk into an unfamiliar problem, work out what matters, and start making progress on your own. * A fast learner who's genuinely generalist. You pick up new domains quickly and aren't precious about which kind of problem you work on. * AI-native. It's 2026 — you build with coding agents like Claude Code as a default and get far more done because of it. * High energy, high agency. You see what needs doing and do it. When you apply, lead with the single most impressive thing you've built so far and a link to it.   DETAILS * Location: Lausanne, Switzerland (on-site) * Type: Internship * Start date: Flexible We review applications on a rolling basis. Application deadline We are reviewing applicants on a rolling basis.