Software Engineer, Backend

The Biopôle

Schweiz

Vor Ort

CHF 80.000 - 120.000

Vollzeit

14 Tage+

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Zusammenfassung

A leading life sciences company in Switzerland is seeking a Software Engineer, Backend. The role involves building backend systems for lab programmability, architecting data pipelines, and developing APIs for laboratory instruments. Candidates should have strong experience with Python and TypeScript, along with an interest in biology. The position offers the opportunity to work closely with scientists and automation engineers to innovate in agentic science.

Qualifikationen

  • Strong experience building production backend systems required.
  • Experience with data pipelines and processing heterogeneous data preferred.
  • Knowledge of API design and systems integration essential.

Aufgaben

  • Build backend systems to make the lab programmable.
  • Architect data pipelines for protein characterization data.
  • Develop APIs integrating laboratory instruments and robotics.

Kenntnisse

Production backend systems
Python
TypeScript
Postgres
Data pipelines
API design
Systems integration
Interest in biology

Jobbeschreibung

Software Engineer, Backend

16.04 2026

About the company

Adaptyv is building an automated lab that lets AI agents run biology experiments, enabling the transition to agentic science. Their platform combines a deep software + hardware stack, powering API‑controllable lab instruments, complex workflows, and AI systems for wet lab experimentation. Today, over 50 companies—from biopharmas to techbio startups—use Adaptyv to run experiments.

About the role

In this role, you will build backend systems that make the lab programmable, architect data pipelines for protein characterization data, and develop APIs integrating laboratory instruments and robotics. You will collaborate with scientists and automation engineers to translate molecular biology workflows into scalable software.

Key requirements
  • Strong experience building production backend systems (Python, TypeScript, Postgres)
  • Experience with data pipelines and processing heterogeneous data
  • Experience in API design and systems integration
  • Interest in biology and high‑autonomy, pragmatic mindset
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