---
title: 'Bioengineer, Display & Library Engineering at Adaptyv'
canonical: 'https://feeny.ai/job/bioengineer-display-library-engineering-adaptyv-lausanne-k7jakz1431rg'
type: 'job'
last_seen: '2026-09-05'
---

# Bioengineer, Display & Library Engineering at Adaptyv

- **Company:** Adaptyv
- **Location:** Lausanne, Switzerland
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-21
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/adaptyv/a0dac9c9-c09a-4464-87d9-b42a28f58b04

## Job description

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

You are here to scale up data generation. Design teams can hand us 10⁶ sequences, and our automated infrastructure measures on the order of 10³ of them individually. Library construction and display is what closes that gap.

We want someone who has set these systems up before and can do it again here, with their own hands. Phage, ribosome, mRNA, yeast, cell-free: which one fits depends on the library and the target, and part of the job is making that call and then building it rather than writing a recommendation.

This is a build role, not a service role. For your first months you are making libraries, running selections, working out why a round collapsed, and turning what works into something the automation team can run without you.

## WHAT YOU'LL DO

- Build the libraries. Oligo pools, combinatorial assembly, barcoding. More campaigns fail here than at selection.
- Run selections end to end, including the call on whether a round enriched real binders or just fast growers.
- Pick the platform per campaign and stand it up. Based on the library and the target, not on what you happened to use last.
- Own the sequencing analysis. You don't need to be a bioinformatician, but you can't be waiting on one.
- Hand off to automation. A protocol that only works when you personally run it isn't finished.
- Close the loop. Selected designs get expressed and measured on BLI and SPR by the team next door. That tells you whether the selection worked.

## WHAT WE'RE LOOKING FOR

- MSc or PhD in a relevant field, plus 3+ years running display and selection yourself.
- You have set up a display platform, not just used one. This is the core requirement. Built the library, got the selection working, and produced binders that held up in an independent assay. Managing outsourced CRO campaigns is not the same thing.
- Depth in at least one display format and working literacy across the rest. We are not fixed on which one.
- High-diversity cloning, and an understanding of where bias enters a pool and what it costs you later.
- NGS as a routine tool, and FACS if you have it.
- Enough Python or R to analyze your own data without joining a queue.
- You use AI tools seriously. It's 2026 and we run on Claude Code across the company. You also need the judgment to check what comes back.
- A self-starter. Nobody is going to hand you a prioritized queue. You decide what to build, build it, and tell us what you learned.
- Startup speed, not academic pace. Campaigns run against customer deadlines. A working platform with known limits beats an elegant one next year.
- You want your protocols automated rather than manual forever.

If your instinct is that a campaign is finished once you have ten good clones, we will frustrate each other. We want data, not a hit list.

## WHY THIS ROLE IS INTERESTING

Most display scientists spend a career panning one target class, and the output is a hit list. Here you would run campaigns across many targets and many design methods, much of it on AI-designed proteins nobody has characterized before.

Expression and characterization already run at scale on our automated infrastructure, so you build the selection layer and not everything underneath it.

## DETAILS

- Location: Lausanne, Switzerland, on-site. This is a lab role.
- Type: Full time.
- Start date: As soon as you can.

Application deadline

We are reviewing applicants on a rolling basis.

## About Adaptyv

## Company Overview
- **One-liner**: Adaptyv is a cloud lab that enables protein designers to validate and test novel protein designs using fully automated labs, delivering clean, AI-ready experimental data in under three weeks.
- **Entity Type**: Private (Seed stage — raised $10.9M total; last round: $8.0M Seed led by ACE Ventures in October 2025)
- **Headquarters**: Lausanne, Switzerland
- **Founded**: 2021
- **Founders**: Daniel Nakhaee-Zadeh Gutierrez (Co-Founder) and Julian Englert (Co-Founder & CEO)

## Core Business
- **Primary industry**: Biotechnology research / Protein engineering / Synthetic biology lab services
- **Target customers**: B2B — AI-first protein engineering teams, computational biologists, biotech/pharma R&D groups (both startups and established enterprises)
- **Mission statement**: “To make proteins easier to engineer” by building technologies that allow protein engineers to design and test new proteins for medicines, industrial enzymes, and functional materials [adaptyvbio.com](https://www.adaptyvbio.com/).

## Products & Services
- **Adaptyv Cloud Lab** (Primary offering): A fully automated protein validation lab. Clients submit protein sequences digitally; Adaptyv performs synthesis, expression, purification, and a wide range of assays, returning raw and labelled data in under 3 weeks. Priced at **$149 per protein** (includes 2 replicates). Data is accessible via a modern experiment management platform, eliminating email-based quoting and Excel sheets [adaptyvbio.com](https://www.adaptyvbio.com/).
- **Adaptyv API**: Programmatic access to the lab, allowing seamless integration into users’ design–build–test workflows. Supports high-throughput and automated submission [adaptyvbio.com](https://www.adaptyvbio.com/).
- **Experiment Management Platform**: Web-based dashboard to order assays, monitor progress, analyze results, and track historical performance of protein design rounds [adaptyvbio.com](https://www.adaptyvbio.com/).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metrics**:
  - **Revenue**: $1.0M (estimated annual revenue per LinkedIn) [linkedin.com](https://ch.linkedin.com/company/adaptyvbio)
  - **Total Funding**: $10,939,391 across four rounds (Pre-Seed via Y Combinator, Pre-Seed led by Founderful, Debt from Foundation for Innovation and Technology, and Seed from ACE Ventures) [linkedin.com](https://ch.linkedin.com/company/adaptyvbio)
- **Notable Investors**: Y Combinator (Summer 2021 batch), Founderful, ACE Ventures (lead Seed round), Foundation for Innovation and Technology (FIT) [linkedin.com](https://ch.linkedin.com/company/adaptyvbio)
- **Growth Signals**:
  - Team size grew from ~25 (Y Combinator profile, 2025) to 31 employees (LinkedIn, 2026) — a **65% year-over-year increase** [ycombinator.com](https://www.ycombinator.com/companies/adaptyv) [linkedin.com](https://ch.linkedin.com/company/adaptyvbio)
  - 30 open positions listed on careers page (April 2026) [adaptyvbio.com/careers](https://www.adaptyvbio.com/careers)
  - Operates in 7 countries, with the majority of the team in Switzerland [linkedin.com](https://ch.linkedin.com/company/adaptyvbio)

## Competitive Advantages
- **Speed**: Fastest protein validation lab — “go from sequence design to experimental data in under 3 weeks” [adaptyvbio.com](https://www.adaptyvbio.com/)
- **Data quality**: Automated, standardized lab processes produce consistent, labelled data that is directly useful for training generative AI models (billed as “lab-in-the-loop protein design”)
- **Transparent per‑protein pricing**: No hidden costs, no RFQ cycles — $149/protein simplifies budgeting for teams of all sizes
- **Purpose‑built for AI‑first workflows**: Seamless API and platform integration enables iterative design cycles, reducing time between computational predictions and wet-lab validation [adaptyvbio.com](https://www.adaptyvbio.com/)

## Strategic Focus
- **Current priorities**: Scaling lab automation capacity to handle increasing demand; expanding the range of assays offered (biophysical, functional, cell-based); deepening integrations with AI protein design tools; growing the team across biology, software, and operations.
- **Direction**: To become the de facto “cloud lab” layer for the protein design stack, powering the world’s best AI-driven protein engineering teams [adaptyvbio.com](https://www.adaptyvbio.com/) [linkedin.com](https://ch.linkedin.com/company/adaptyvbio)

## Why Work Here
- **Culture & Values**: Emphasizes first‑principles thinking, data‑driven decision‑making, an action‑oriented mindset, and strong work ethic. The team is composed of talented engineers from molecular biology, lab automation, software engineering, and machine learning [adaptyvbio.com/careers](https://www.adaptyvbio.com/careers)
- **Location & Flexibility**: Headquarters in Lausanne, Switzerland. Most roles offer **hybrid** or **remote** arrangements (within Switzerland/Europe), with some roles listed as Lausanne/Hybrid/Remote [adaptyvbio.com/careers](https://www.adaptyvbio.com/careers)
- **Perks & Environment**: A chance to shape the infrastructure of protein engineering — building revolutionary technologies in synthetic biology and lab automation. The team has strong academic and startup roots (EPFL, Harvard, YC). Open roles include Software Engineers, AI/ML Engineers, Lab Automation Engineers, Scientists (Protein Expression, Antibody Developability, Cell-Based Assays), and Operations roles.
- **Open Positions**: 30 roles across software, biology, lab automation, and business development as of April 2026 [adaptyvbio.com/careers](https://www.adaptyvbio.com/careers)

## Sources
1. [adaptyvbio.com](https://www.adaptyvbio.com/)
2. [adaptyvbio.com/careers](https://www.adaptyvbio.com/careers)
3. [ycombinator.com](https://www.ycombinator.com/companies/adaptyv)
4. [linkedin.com](https://ch.linkedin.com/company/adaptyvbio)
5. [adaptyvbio.com/team](https://www.adaptyvbio.com/team)

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