Senior Engineer Operational Excellence #4891

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.

We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.

GRAIL is headquartered in the Bay Area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.

For more information, please visit grail.com

The Senior Engineer, Operational Excellence will support continuous improvement initiatives within our sequencing-based cancer screening operations. This role will work at the intersection of data, process, and operations to enhance efficiency, quality, and scalability across laboratory and operational workflows. The ideal candidate is detail-oriented, data-savvy, and experienced in Lean methodologies, with a strong inclination toward solving complex operational problems through structured analysis and experimentation.

This role works on-site full-time at our office located in Durham, NC

Operational Data & Reporting Develop and maintain operational dashboards and visualizations to track performance across workflows Support generation and automation of KPI reporting, ensuring data integrity and usability Collaborate with stakeholders to refine metrics and improve visibility into operational performance Process Analysis & Monitoring Perform data exploration and statistical analysis to identify trends, variation, and potential process deviations Apply Statistical Process Control (SPC) and Quality Control (QC) methods to monitor and improve process stability Identify leading indicators of performance issues and recommend proactive interventions Continuous Improvement Execution Execute and support Lean initiatives, including 5S, Kaizen events, and Six Sigma projects Conduct root cause analyses (e.g., 5 Whys, Fishbone) and implement corrective and preventive actions (CAPAs) Partner with operations teams to pilot, measure, and scale process improvements Issue Tracking & Prioritization Support Capture and document operational issues, risks, and improvement opportunities Maintain structured tracking systems (e.g., backlogs, ticketing tools) for visibility and accountability Lead prioritization of improvement efforts in collaboration with cross-functional stakeholders Cross-Functional Collaboration Work closely with Operations, Engineering, Software, and Product teams to implement process improvements Translate operational needs into clear requirements for technical teams Provide feedback loops to ensure solutions effectively address root causes

Bachelor’s degree in Engineering, Life Sciences, Industrial Engineering, or related field 6+ years of experience in process engineering, operations, or continuous improvement roles, ideally in biotech, diagnostics, or manufacturing Working knowledge of Lean, Six Sigma, and Kaizen methodologies (certification a plus) Experience with data analysis and visualization tools (e.g., Excel, SQL, Python, Tableau, Power BI) Familiarity with SPC/QC tools and statistical analysis techniques Strong problem-solving skills with attention to detail and data accuracy Effective communicator with the ability to collaborate across teams Experience in NGS, clinical laboratory operations, or diagnostics workflows Familiarity with regulated environments (CLIA, CAP, FDA) preferred

Strong problem-solving skills with attention to detail and data accuracy Effective communicator with the ability to collaborate across teams

Work performed across office, production, and executive settings. Exposure to manufacturing environments, including noise, chemicals, and production equipment. Extended or flexible hours may be required to meet organizational goals. Use of personal protective equipment (PPE), including safety glasses, gloves, and hearing protection, required in designated areas.

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