Adaptyv

You'll **own complete operational workstreams** end-to-end at a fast-growing biotech startup building an automated lab for AI-driven experiments. Your core impact will be turning manual, ad-hoc processes into **scalable systems and automations** using AI tools. This role offers a rare chance to advance **agentic science infrastructure** from the ground up.

You'll help build and run **automated liquid-handling protocols** on robots like Hamilton STAR, controlled in Python with open-source tooling like PyLabRobot. You'll support work-cell operation, write software for instrument drivers, and help reverse-engineer hardware. This internship offers **hands-on experience** at the intersection of software, hardware, and wet lab in a fast-growing biotech startup.

You'll join Adaptyv to build an automated lab that lets AI agents run biology experiments. Your work will directly enable **AI-driven protein engineering** at scale. You'll tackle challenges in **robotics orchestration**, **real-time data pipelines**, and **AI for lab automation**.

You'll join Adaptyv Bio to work on **gene production and DNA quality control** in an automated biofoundry. You'll **operate cutting-edge DNA synthesis and characterization instruments** that power AI-driven experiments. This role offers **hands-on exposure to high-throughput molecular biology workflows**.

You'll own the quality and data integrity of all protein assays run on Adaptyv's automated lab platform, defining what 'good data' means and building systems to enforce it at scale. You'll work at the intersection of **protein biochemistry** and **automation**, ensuring every data point delivered to customers is reliable. This role is ideal for someone who combines deep analytical expertise with the engineering instinct to **systematize and improve** QC processes in a fast-paced, high-throughput foundry.

You'll **run and benchmark open-source protein design methods** against experimental data from Adaptyv's automated wet lab. You'll **design binders for internal R&D campaigns** and build computational tooling to triage design pools. This is a rare chance to contribute to the infrastructure enabling AI-driven biology experiments.

You'll support **scaling operations** at Adaptyv, a biotech startup building an **automated lab for AI-driven experiments**. Your work directly enables **AI agents to run biology experiments** in the physical world.

You'll own Adaptyv's public presence across X, LinkedIn, and the **Proteinbase community**, managing social content, events, and daily engagement. Your work will directly shape how the AI biology community experiences one of Europe's **fastest-growing biotech startups** building the infrastructure for **agentic science**.

You'll **partner with customers** to scope protein design campaigns and **advise on design strategy** using state-of-the-art models. You'll analyze experimental data to **close the iteration loop** and build long-term scientific partnerships.

You'll **run molecular biology and protein production workflows** at Adaptyv, an automated lab empowering AI-driven experimentation. Your core impact is **keeping high-quality, reproducible output flowing** to support our protein engineering pipeline. You'll also help **turn manual protocols into reliable, high-throughput processes**.

You'll work in an automated lab supporting AI-driven wet lab experimentation, owning real production workflows like cloning and protein characterization. Your core impact will be making processes faster, more reliable, and more automated. This is a rare chance to help advance some of the most important work in biotech with **AI-powered infrastructure** and **cutting-edge automation**.

You'll **build orchestration software** for lab instruments at **Adaptyv**, an automated biology lab. You'll coordinate liquid handlers, plate readers, and robot arms to keep experiments running reliably around the clock. Debug across the **software-hardware boundary** and build error-recovery logic that handles physical failures gracefully.

You'll embed with customers to integrate Adaptyv's API into their protein design pipelines, making designing, building, and testing proteins **one continuous loop**. You'll write production code turning model outputs into real experiments and bring customer insights back to improve the product. This role bridges **engineering and customer-facing work** in an automated lab enabling **agentic science**.

You'll work on **automation infrastructure** for an AI-driven biology lab, owning real problems from data pipelines to instrument debugging. Your impact will be directly measurable as you build tools that accelerate agentic science. This is a rare chance to contribute to **cutting-edge biotech** at one of the fastest-growing companies in the field.

You'll join a team building **automated labs** that let AI agents run biology experiments, powering **agentic science**. You'll design and integrate hardware and software to turn instruments into reliable work cells. This role offers a rare chance to advance biotech with top AI labs and biopharmas.

You'll build **automated lab infrastructure** that gives **AI agents access to the physical world** for biology experiments. Your work will **accelerate drug discovery and scientific AI** in a fast-growing techbio company.

You'll own **cell-based functional assays** at Adaptyv, proving antibodies and proteins work by measuring receptor activation, signaling, and cell responses. You'll turn bespoke assays into productized capabilities, collaborating across biology, automation, and software teams. This role offers a rare chance to build the infrastructure for **agentic science** in one of the fastest-growing biotech companies.

You'll **own protein expression and purification** at Adaptyv, focusing on CHO/HEK systems. You'll turn bespoke protocols into **robust, automated high-throughput production**. This is a rare chance to help advance **agentic science** with AI-driven wet lab experimentation.

You'll own **antibody developability** at Adaptyv, building a **high-throughput assay panel** that flags liabilities early. You'll turn scattered bespoke assays into a coherent automated service, connecting experimental data to **in-silico prediction** to accelerate therapeutic development.

You'll own analytical characterization at Adaptyv, building automated methods for protein analysis. You'll develop HPLC and mass spec methods **for antibody products** and turn them into high-throughput, productized capabilities. This role offers a rare chance to **build the infrastructure for AI-driven wet lab experimentation**.

You'll join Adaptyv's biology team to **develop and optimize protein expression workflows** and **design DNA synthesis and assembly protocols** for automated labs. Your work will **enable AI agents to run biology experiments** at scale, accelerating biotech discovery. This role offers hands-on bench work with cutting-edge automation.

You'll lead a **small, technical engineering team** building the **software infrastructure for an automated biology lab**. Your core impact is translating company strategy into engineering priorities, shipping code on the highest-leverage problems, and growing the team thoughtfully. This role lets you **stay hands-on while shaping technical direction** in a fast-growing biotech company trusted by leading labs.

You'll build the data science layer for **Adaptyv's automated lab**, turning raw experimental data into clean, structured datasets. You'll own **data quality pipelines** and **anomaly detection models** that serve both scientists and AI models. This role is at the **intersection of bioinformatics, data engineering, and ML**, working with a fast-growing biotech company.

You'll join Adaptyv's biology team running **protein expression** and **DNA assembly workflows** for AI-driven wet lab experiments. You'll execute thousands of constructs per week across cell-free and cell-based systems, **troubleshooting expression issues** and analyzing data. This role lets you scale the infrastructure that gives AI agents access to the physical world.

You'll build backend systems that make our lab programmable, architecting data pipelines for large-scale protein characterization data. You'll integrate laboratory instruments and robotics into our software stack, translating complex molecular biology workflows into reliable, scalable software. This is **not SaaS slop**—you're making **physical machines do precise biology** with minimal human intervention.

You'll work across **LabOS** — our internal software platform — building the orchestration layer that coordinates experiment scheduling, execution, data capture, and results processing. You'll own large areas of the product in a small team where individual engineers have **high impact** on what gets built and how. You'll combine **full-stack engineering** with the challenge of turning lab instruments into API-controllable devices.

You'll operate and maintain our automated DNA synthesis and assembly pipeline, ensuring consistent gene production. You'll contribute to **scaling high-throughput workflows** for **AI-driven wet lab experimentation**. This role is at the intersection of biology and automation, working with cutting-edge lab infrastructure.