Full-Stack Engineer, Process Execution — Life Sciences AI

Benchling, Inc.

United States

On-site

USD 120,000 - 160,000

Full time

6 days ago
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Job summary

Benchling, Inc. is hiring for a Software Engineer on the Process Execution team who will work full-stack across Workflows, Recipes, and Assays—the core products used by scientists to manage manufacturing processes.

You will build features that show up directly in how scientists manage workflows, integrate Benchling with the wider ecosystem, and shape AI tooling integration into our products. The role emphasizes high-stakes, production-quality code in regulated environments and collaboration with

Qualifications

  • 3+ years of professional software engineering experience building and maintaining production systems.
  • Experience working in enterprise B2B SaaS serving large, complex organizations.
  • Familiarity with regulated software environments (GxP, FDA 21 CFR Part 11, or similar).
  • Willingness to engage with AI-assisted development tools as a primary mode of working.

Responsibilities

  • Build features across the workflow engine, recipes, and assays as full-stack work.
  • Contribute to data modeling for workflow graphs, task execution tracking, and work management.
  • Write well-documented, well-tested code and participate in code reviews.
  • Engage with on‑call rotation to support a customer-facing product.
  • Collaborate with product management and design to translate complex workflow needs into reliable software.

Skills

Full-stack development
Python
React
AI-assisted development
Regulated environments familiarity
Product mindset
Team collaboration

Tools

Python
React
PostgreSQL

Job description

Benchling, Inc. is hiring for a Software Engineer on the Process Execution team who will work full-stack across Workflows, Recipes, and Assays—the core products used by scientists to manage manufacturing processes.

You will build features that show up directly in how scientists manage workflows, integrate Benchling with the wider ecosystem, and shape AI tooling integration into our products. The role emphasizes high-stakes, production-quality code in regulated environments and collaboration with

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