Senior Software Engineer, Lab Informatics (Benchling)

The Institute for Protein Innovation is seeking a Senior Software Engineer to join our Lab Informatics team and help architect, build, and evolve the Institute’s digital laboratory platform, with Benchling as a core component.

This role will partner closely with scientists, automation engineers, and data teams to translate complex scientific workflows into intuitive, scalable, and reliable digital solutions.

The Senior Software Engineer will contribute to Benchling configuration and development, scientific data modeling, application and integration development, laboratory automation, analytics, and platform architecture.

This position will play a key role in ensuring that scientific data is structured, traceable, accessible, and reusable across the Institute while establishing strong software engineering practices for our laboratory informatics ecosystem.

Reports to: Director of Automation and Process Optimization

• Partner with scientists and cross-functional teams to understand experimental workflows, gather requirements, and translate scientific needs into effective technical solutions.
• Design, develop, and maintain the Institute’s Benchling environment, including schemas, Registry entities, Results, Inventory, workflows, notebook templates, applications, and other platform capabilities.
• Develop production-quality applications and integrations using the Benchling Developer Platform, including APIs, SDKs, Apps, App Canvas, events/webhooks, and related technologies.
• Design and maintain scalable scientific data models that support data integrity, traceability, interoperability, and long-term reuse.
• Build scientific analytics, dashboards, and data applications using Benchling Insights, SQL, Python, and appropriate visualization and application frameworks.
• Integrate Benchling with laboratory instruments, automation platforms, internal applications, data systems, and external scientific software.
• Design and implement workflows that enable reliable transfer of experimental data between laboratory automation systems and Benchling.
• Establish and follow software engineering best practices, including source control, code review, automated testing, CI/CD, documentation, deployment, monitoring, and maintainable software architecture.