Reporting to the Senior Systems Integration Engineer II, this Senior Systems Integration Engineer will provide technical expertise, vision and leadership in the creation of automated solutions for complex processes used for commercial diagnostic patient sample testing in our Clinical Laboratory. The focus of these efforts will be automation of our patient sample processing, which may include processes spanning our entire sample testing workflow, including incoming specimen management, histology, pathology, nucleic acid extraction and analysis by RT-PCR or DNA sequencing. Participating in or leading cross functional teams comprised of analysts, scientists, engineers, statisticians, pathologists, and Operations staff, he or she will engage key stakeholders spanning a diverse range of disciplines to gain a detailed understanding of business requirements related to our laboratory processes. He or she will propose areas of focus and explore, develop, and implement technology solutions which provide robust, scalable automation for these workflows to improve efficiency, throughput, quality, and cost. For our laboratory workflows, this will require thoughtful identification and assessment of existing robotics instrumentation and software used for diagnostic, healthcare or other industries and applications. This position will maximize use of existing commercially available hardware and software where possible and design custom components only where required for Genomic Health’s unique sample processing workflows.
The successful candidate will have extensive experience in collecting business and user requirements, developing functional specifications, and integrating mechanical and software components to engineer automated production equipment or instrument systems for robustness, reliability, and operational simplicity. The ideal candidate will have expertise and experience in engineering high quality, efficient, and cost effective laboratory workflows in a healthcare environment, Laboratory Information Management System (LIMS) software, and/or laboratory robotics. Highly desirable knowledge and practical experience in the application of Robust Design / Design for Six Sigma principles, and verification and validation methodologies for complex instrumentation systems in a regulated environment. The successful candidate will collaborate effectively with team members from many different disciplines and functional areas outside of Process Engineering, including Histology, Pathology, Biostatistics, Data Management, Information Technology, Quality, and R&D.