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Software Engineer, Backend

adaptyv·Lausanne·29.08.2026

 jobs.ashbyhq.com

 
 
Festanstellung80–100%
Required language
English conversational
Job written in
English
Location
Lausanne
Work type
On-site

 

Adaptyv is a fast‑growing biotech firm that creates an automated laboratory where artificial‑intelligence agents can directly conduct biology experiments. By turning expensive, manually‑operated instruments into API‑driven hardware, the company enables AI‑driven design of proteins, hypothesis generation, and rapid experimental iteration for leading biopharma and frontier AI labs. In this position you will construct the backend services that make the lab programmable. Your work will involve designing data pipelines that ingest and clean large volumes of heterogeneous protein‑characterization measurements, building APIs that expose laboratory instruments and robotics to the software stack, and collaborating with scientists and automation engineers to convert intricate molecular‑biology protocols into dependable, scalable code. The focus is on turning physical devices into precise, low‑touch biology platforms rather than delivering a typical SaaS product. The role requires solid experience designing and delivering production‑grade backend systems, with proficiency in Python or TypeScript and familiarity with PostgreSQL or comparable databases. You must have a track record of building data‑processing infrastructure and handling diverse instrument outputs such as binding‑kinetics, enzyme activity, and chromatography data. Comfort with API design and system integration is essential, as is a genuine enthusiasm for biology, even without formal training. The ability to work autonomously, adopt a founder‑mindset, and prioritize pragmatic, well‑architected solutions is also required. Adaptyv offers a high‑autonomy environment where context and vision are shared openly, allowing you to decide what matters most and act on it. The team values pragmatic problem‑solving over specific tools, and you will often write code assisted by AI while still understanding the fundamentals of clean architecture. Applications are reviewed continuously.

 

 

 

 

 

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