Equipment Engineer 2

Responsibilities

• Conduct professional engineering analyses to assess equipment performance and identify reliability concerns.
• Support the installation, modification, and qualification of laboratory manufacturing equipment.
• Execute advanced maintenance, repair, and technical adjustments on complex manufacturing equipment.
• Apply structured problem-solving methods to troubleshoot issues and implement corrective actions.
• Develop and maintain engineering documentation, including technical specifications and change records.
• Collaborate with cross-functional partners on continuous improvement initiatives to enhance throughput and performance.
• Support preventive and predictive maintenance programs by reviewing failure data and recommending enhancements.
• Perform engineering-level testing, calibration, and verification to ensure compliance with quality standards.

Requirements

• Bachelor’s degree in mechanical, electrical, or manufacturing engineering, or a related discipline.
• 2+ years of relevant experience in equipment or manufacturing engineering, or a Master’s degree with 0–2 years of experience.
• Demonstrated knowledge of automated manufacturing systems, control systems, and process instrumentation.
• Proficiency in reading and interpreting mechanical and electrical drawings and schematics.
• Familiarity with root cause analysis and Failure Mode and Effects Analysis (FMEA) tools.
• Knowledge of regulatory standards such as GMP (ISO 13485) or clinical laboratory regulations (CAP, CLIA).

Preferred Qualifications

• Strong problem-solving skills with the ability to diagnose complex equipment and process issues.
• Analytical and data-driven approach to process improvement and decision-making.
• Effective collaboration and communication skills across technical and operational teams.
• Ability to manage multiple assignments in a fast-paced environment.

About the Company

GRAIL is a healthcare company pioneering new technologies to advance early cancer detection. We use next-generation sequencing (NGS) and state-of-the-art data science to transform cancer care and change the trajectory of cancer mortality.