Laboratory Automation Engineer

Primary Responsibilities

• Develop new automation to enable production workflows for new assays or enhancements to existing workflows.
• Design system requirements and implement automation scripts and user interfaces.
• Develop helper applications (e.g., in C#, Python) for data handling and integration with Laboratory Information Management Systems (LIMS).
• Create User and Functional Requirements documentation for new workflows.
• Develop, perform, and document s protocols and method qualifications for new workflows on automated systems.
• Take ownership of assigned projects and provide timely status reports to project leadership and management.
• Execute defined development and continuous improvement projects to enhance system performance.
• Handle complex troubleshooting where the source of the issue is unknown, collaborating with cross-functional teams (e.g., Development, Engineering, Operations, and Data Science) to resolve issues.
• Provide high-level support to the service and engineering teams.
• Continuously learn and expand the knowledge base regarding automated equipment, controlling software, and scheduling tools.

Qualifications

• Bachelor’s degree in Biomedical Engineering, a related scientific field, or equivalent experience.
• 2+ years of experience in laboratory automation engineering.
• Proficiency in automation and systems development/integration within the life sciences industry, specifically with robotics and liquid handling platforms.
• Experience in software programming and data handling (including database work) is highly preferred.
• Strong written and verbal communication skills, with the ability to collaborate effectively across departments.
• Prioritize managing multiple simultaneous projects with strong attention to detail and organizational skills.

Skills and Abilities

• Proficiency in using controlling and scheduling software for laboratory automation.
• Skills in programming languages such as C# or Python for data handling and system integration.
• Excellent problem-solving skills, particularly in diagnosing complex issues within integrated hardware/software systems.
• Understanding of Good Documentation Practices (GDP) and safety/regulatory standards in a laboratory setting.
• Ability to work effectively within a team-oriented environment and communicate technical concepts to non-technical stakeholders.
• Flexibility to support rapidly changing requirements in a dynamic R&D environment while maintaining the stability required for production.