Senior Automation Engineer

FL97 - Cambridge, MA

Full-time - Senior

Cambridge, MA

About the position

The Senior Automation Engineer at Flagship Labs 97 Inc. (FL97) is responsible for integrating advanced automation solutions within laboratory environments to enhance data workflows and optimize operational efficiency. This role involves collaborating with various teams to build a digital twin of the lab environment, ensuring seamless integration of lab instrumentation and automation tools, and implementing CI/CD pipelines for lab automation. The position requires a strong focus on maintaining data security and traceability while exploring innovative technologies to improve lab operations.

Responsibilities

• Integrate automation systems with lab platforms, focusing on EMS, LIMS, and MES tools to streamline data flow.
• Design and develop solutions for data capture, event listeners, and driver development across life and physical sciences.
• Lead the development and refinement of a digital twin of the lab environment, modeling robotics, instrumentation, and environmental data for operational optimization.
• Collaborate closely with both the ML/AI teams and the Data & Compute Platform team to ensure effective ingestion, transformation, and utilization of data from various lab sources.
• Work with the Data & Compute Platform team to implement CI/CD pipelines and optimize the deployment strategy for lab automation solutions.
• Maintain and enforce the chain of custody across data workflows to ensure security and traceability in automated processes.
• Optimize automation processes to ensure continuous and efficient lab operations, minimizing downtime.
• Explore and integrate VR tools to enhance lab automation and cross-functional collaboration.

Requirements

• Proven experience in automation software engineering within life and physical sciences.
• Expertise in integrating diverse systems and tracking/managing data sources across lab environments.
• Strong programming skills and proficiency in tools related to automation and lab data management.
• Experience in building and refining digital twins, with the ability to model complex lab environments, instrumentation, and robotics.
• In-depth knowledge of Laboratory Information Management Systems (LIMS) and Manufacturing Execution Systems (MES), with experience in integrating these tools into broader platforms.
• Experience collaborating closely with ML/AI teams to enhance data processing capabilities in an automated lab environment.
• Familiarity with CI/CD practices and deployment strategies in a lab automation context.
• Strong problem-solving skills, a collaborative mindset, and the ability to work independently in dynamic environments.
• Willingness to travel for work assignments as needed.

Benefits

• Access to advanced technology in AI experimental design and simulation
• Opportunities for professional development and collaboration in a mission-driven environment