Shift:

Wednesday-Saturday 9:00pm-7:30am

Pay:

Starting at $42/hr, plus an additional $2.50/hr on Wednesday and Thursday night and an additional $4.50/hr on Friday and Saturday night Responsibilities Taking responsibility for uptime on a multi-million dollar pipeline through equipment maintenance, instrument qualification, and rapid response to issues Interfacing with CLIA laboratory personnel to troubleshoot problems and schedule work on instrumentation Performing regular maintenance to keep robotics and instrumentation running in top shape Working closely with automation engineers to define critical feature requests and potential improvements Maintaining the most advanced laboratory technology in molecular diagnostics Developing, optimizing, and troubleshooting liquid-handling processes on multiple instrument platforms Specifying and supporting the implementation of custom hardware and software solutions to continuously improve the MWH laboratory platform (e.g., robots, gantries, PLCs, scheduling, tracking, safety) Applying cutting-edge technology to literally save lives Qualifications Have a BS in electrical engineering, biomedical engineering, or their equivalent, and/or independent experience servicing complex laboratory instrumentation and/or robotic hardware, as displayed by prior employment or projects Have seven or more years of experience repairing and/or maintaining laboratory instrumentation or instruments of similar complexity (Tecan is desirable) Have the attentiveness and vigilance to maintain a complex suite of instrumentation and robotic equipment Know when the solution to a problem is hardware, software, or chemistry Recognize quickly when he or she sees a superior solution and be unafraid to recommend changes Be punctual and able to work a steady schedule and help cover other shift times as needed Work tirelessly to get things done right the first time Be well-organized and have an eye for detail Be excited at the prospect of a fully automated genome factory Want to learn everything he or she doesn't yet know to perform optimally in a fast-paced environment #LI-HH1