Scientific Full-Stack Engineer - AI-Driven Bio Tools

Arcadia Science

Emeryville (CA)

On-site

USD 160,000 - 195,000

Full time

14 days+

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Job summary

Arcadia Science is seeking a software engineer to join our Emeryville team, building web applications and data infrastructure that connect wet-lab and computational scientists. You will ship internal tools, design scalable data pipelines, and contribute to the AutoOpenRaman project within the Foundry division, delivering a UI and data layer for open-source Raman spectroscopy.

You will collaborate with bench scientists to understand workflows, ship reliable software, and help translate complex

Qualifications

  • Proficiency in Python and TypeScript; ownership of backend and frontend components.
  • Experience building data pipelines for scientific data, including ingestion, transformation and storage.
  • Strong AI literacy with familiarity with agentic systems and AI tooling.

Responsibilities

  • Partner with researchers and product designers to identify high-impact problems, then architect and ship solutions through rapid iteration cycles.
  • Design, develop, and maintain Arcadia's internal product suite using modern web technologies, building for scalability and a scientist-friendly UX.
  • Build and improve data infrastructure that supports biological research workflows, from ingestion to visualization.
  • Design and ship a scientific user interface for bench scientists, including sample management, run configuration, live acquisition feedback, and results review.
  • Build and maintain agentic AI workflows to automate data QC, interpretation, report generation, and other repeatable tasks.
  • Own the full lifecycle of work: scoping, implementation, testing, deployment, monitoring, and maintenance.

Skills

Python
TypeScript
AI literacy
Data pipelines
Scientific workflows
UI design

Job description

Arcadia Science is seeking a software engineer to join our Emeryville team, building web applications and data infrastructure that connect wet-lab and computational scientists. You will ship internal tools, design scalable data pipelines, and contribute to the AutoOpenRaman project within the Foundry division, delivering a UI and data layer for open-source Raman spectroscopy.

You will collaborate with bench scientists to understand workflows, ship reliable software, and help translate complex

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