Automation Engineer

Insight Global; Collegeville (PA); On-site; USD 90,000 - 120,000; Full time

Job summary

Insight Global is seeking an Automation Engineer II to support deployment of a laboratory experiment execution platform enabling automated scientific workflows across R&D laboratories.

The role focuses on configuring, deploying, integrating, and supporting automation solutions in production lab environments, driving adoption and reliable operation for end-to-end automation.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Automation Engineering, Biotechnology, Life Sciences, or a related technical field.
• Experience implementing, configuring, or supporting laboratory automation, scientific software, industrial automation, or manufacturing systems.
• Understanding of laboratory workflows, automation technologies, and scientific data systems.

Responsibilities

• Configure, deploy, and support laboratory experiment execution platforms across scientific and laboratory automation programs.
• Partner with scientists, engineers, and research teams to understand experimental workflows and translate requirements into automation solutions.
• Integrate laboratory instruments, robotics platforms, schedulers, and third-party software systems using APIs and integration frameworks.
• Validate end-to-end functionality, including experiment execution, job scheduling, event handling, status monitoring, and instrument communication.
• Configure workflow templates, operator interfaces, and laboratory automation processes using platform capabilities.
• Support testing, qualification, and deployment activities to ensure successful implementation in laboratory environments.
• Assist with go-live execution, troubleshooting issues, supporting users, and coordinating with engineering teams to resolve platform-related defects.
• Develop reusable implementation patterns, templates, and reference architectures to accelerate future deployments.
• Gather user feedback, identify improvement opportunities, and communicate enhancement requests to product and engineering teams.

Skills

Laboratory automation

APIs

Middleware

Integration frameworks

Industrial automation

Education

Bachelor's degree in Engineering, Computer Science, Automation Engineering, Biotechnology, Life Sciences, or related field

Tools

APIs

Middleware

Connector frameworks

Job description

Industry: Pharmaceutical Research & Drug Discovery

About the Opportunity

Insight Global is seeking an Automation Engineer II to support the deployment and adoption of a laboratory experiment execution platform that enables highly automated scientific workflows across research and development laboratories.

This platform serves as the foundation for next-generation laboratory automation by orchestrating experiments across laboratory instruments, scheduling systems, robotics, and informatics platforms to deliver reliable, auditable, end-to-end execution. It is a key component of a broader strategy to build closed-loop laboratories, where experiments can be planned, executed, analyzed, and optimized with a high degree of automation, accelerating scientific discovery and innovation.

This role is part of a large-scale implementation initiative focused on expanding the use of laboratory automation technologies across multiple scientific programs. Working within established architecture standards and engineering best practices, the Automation Engineer will configure, deploy, integrate, and support automation solutions in production laboratory environments.

This is a delivery-focused implementation role rather than a software product development role. The primary objective is to ensure successful deployment, adoption, and ongoing operation of laboratory automation platforms while enabling scientists and laboratory teams to leverage automated workflows effectively.

Responsibilities

• Configure, deploy, and support laboratory experiment execution platforms across scientific and laboratory automation programs.
• Partner with scientists, engineers, and research teams to understand experimental workflows and translate requirements into automation solutions.
• Integrate laboratory instruments, robotics platforms, schedulers, and third-party software systems using established integration frameworks and APIs.
• Validate end-to-end functionality, including experiment execution, job scheduling, event handling, status monitoring, and instrument communication.
• Configure workflow templates, operator interfaces, and laboratory-specific automation processes using established platform capabilities and implementation standards.
• Support testing, qualification, and deployment activities to ensure successful implementation in laboratory environments.
• Assist with go-live execution, troubleshooting issues, supporting users, and coordinating with engineering teams to resolve platform-related defects.
• Develop reusable implementation patterns, templates, and reference architectures to accelerate future deployments.
• Gather user feedback, identify improvement opportunities, and communicate enhancement requests to product and engineering teams.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, Automation Engineering, Biotechnology, Life Sciences, or a related technical field.
• Experience implementing, configuring, or supporting laboratory automation, scientific software, industrial automation, or manufacturing systems.
• Experience integrating laboratory instruments, robotics equipment, or third-party applications using APIs, middleware, or connector frameworks.
• Understanding of laboratory workflows, automation technologies, and scientific data systems.
• Experience in pharmaceutical, biotechnology, life sciences, healthcare, or research environments.

Preferred Qualifications

• Familiarity with laboratory informatics platforms such as LIMS, ELN, SDMS, MES, or related scientific systems.
• Experience supporting robotic laboratory systems and automated experimentation workflows.
• Knowledge of cloud-based applications, automation frameworks, and modern systems integration approaches.
• Understanding of regulated environments, software validation, and quality processes.