About the role

AI summarised

The Staff Systems Engineer supports New Product Introduction and on-market activities for genetic analysis instruments, serving as a technical bridge between Instrument Operations and product development teams in Singapore and the US. The role involves hands-on system failure analysis, characterization, and process improvement, with leadership in test process deployment, root cause analysis, and cross-functional collaboration to ensure system requirements are met. Responsibilities include driving operational excellence, writing work instructions, and supporting engineering studies to sustain high-performance standards throughout the product lifecycle.

BiotechOnsite

Key Responsibilities

Lead and drive the deployment and continuous improvement of test processes and strategies to ensure system level requirements are met, including managing test specification changes throughout the product lifecycle
Represent Instrument Operations and engage early with development teams to understand system level design and interactions across optics, fluidics, motion system, and advanced image sensors/cameras for cutting-edge genetic analysis instruments
Lead and coach system-level debugging and drive root cause analysis for hardware, firmware, software, and chemistry/reagent related issues on complex systems (e.g.
Instruments with optical & fluidics sub-systems) and provides technical recommendations
Diagnose system level issues and develop hypotheses based on observed failures
Perform and coach structured root-cause analysis for complex production issues using systematic problem-solving methodologies (FMEA, DOE, and statistical analysis)
Complete Non-conformance Records based on investigation outcomes and drive release of instruments back into production
Establish engineering studies to support various experiments and data collection efforts
Participate in continuous improvement initiatives and operational excellence programs
Write and update work instructions as needed to improve test procedures

Requirements

Typically requires a minimum of 8 years of related experience with a Bachelor’s Degree; or 6 years and a Master’s Degree; or a PhD with 3 years’ experience; or equivalent experience
Strong analytical foundation with solid understanding of statistical analysis and critical thinking skill, supported by experience using data analytics to drive decision making
Experience in explaining and presenting complex technical issues to audiences with different backgrounds and provide sound technical recommendation and direction
Experience developing scripts to extract/debug information from embedded systems and high-performing compute system running Oracle Linux
Proficient in statistical analysis tools (i.e: JMP) for test data analysis, and requirement/test management tools (i.e: JAMA)
Experienced in specification characterization and driving system performance robustness
Excellent team player, interpersonal and communication skills
Willing to travel to US for extended periods to learn the technology and collaborate with the US design teams
Strong working knowledge of GDP, ISO & cGMP practices
Experience with FDA regulated medical device product development preferred
Experience in life science–related projects or internships is advantageous; exposure to medical device environments is preferred
Familiarity with DNA sequencing, microarray platforms, liquid handling robotics, and system-level testing (hardware, firmware, software, and chemistry/reagents) is highly desirable
Experience with Linux system will be a plus