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Scientist, Antibody Developability

Job in 1001, Lausanne, Canton de Vaud, Switzerland
Listing for: Founderful
Full Time position
Listed on 2026-06-09
Job specializations:
  • Research/Development
    Biotechnology, Research Scientist
Salary/Wage Range or Industry Benchmark: 30000 - 80000 CHF Yearly CHF 30000.00 80000.00 YEAR
Job Description & How to Apply Below

Location

Lausanne

Employment Type

Full time

Location Type

On-site

Department

Biology

Overview

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 tech‑bio 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 and 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’ll build out antibody develop ability at Adaptyv — the panel of assays that separates a nice binder from a manufacturable, stable, well‑behaved therapeutic. Aggregation, thermostability, self‑association, polyreactivity, solubility, viscosity, and chemical liabilities: you’ll build the experimental stack that flags these early, and make it something customers can order as a product.

These assays exist today as a scattered, bespoke collection. Your job is to turn them into one coherent, automated, high‑throughput develop ability assessment — and to connect the experimental data to in‑silico prediction so the lab and the models reinforce each other. You’ll develop the assays hands‑on, work with lab automation to scale them, and work with the software and ML teams to model the data and make it useful for protein designers.

You’ll lead the science and stay at the bench.

What You’ll Do
  • Build and validate a develop ability assessment panel hands‑on: thermostability (DSF/nano

    DSF), aggregation and self‑association (SEC, HIC, AC‑SINS, DLS), polyreactivity/nonspecificity, solubility, and chemical‑liability assessment.
  • Turn that panel into a productized, high‑throughput service customers can order against their antibody campaigns.
  • Partner with lab automation to scale and automate the assays for reproducible, fast turnaround.
  • Work with the software and ML teams to structure develop ability data and connect it to computational develop ability prediction.
  • Interpret results and advise customers on liabilities, risk, and what to engineer next.
  • Set the scientific standard for what develop ability data we trust and report.
What We’re Looking For
  • Deep, hands‑on experience assessing antibody develop ability — you know the assay panel cold and have used it to triage real antibody campaigns.
  • Applied industry experience. You’ve done this in an antibody discovery, engineering, or development setting where decisions and timelines were on the line — not primarily in an academic research project. This is the core requirement.
  • Strong grasp of what makes a biologic developable — the link between early biophysical signals and downstream manufacturability and stability.
  • Builder who moves fast. You want to stand up new capabilities and productize them, not run a fixed service.
  • Interdisciplinary. You collaborate naturally with automation engineers and with software/ML people, and you’re excited about closing the loop between wet‑lab data and predictive models.
  • Data fluency (scripting, working with structured datasets) is a strong plus.
Details
  • Location:

    Lausanne, Switzerland (on-site)
  • Type:
    Full time
  • Start date:

    ASAP
Final date to receive applications

We are reviewing applicants on a rolling basis.

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