System Engineer - Hardware support

Position Title: System Engineer - Hardware support

Work Location: Santa Clara, CA, 95050

Assignment Duration: 12 Months

Work Schedule: 5 days onsite, 8:00 AM - 5:00 PM (based on business needs)

Work Arrangement: Onsite

Position Summary:

• Client's Sequencing Solutions & its Molecular Lab (Santa Clara) are developing nanopore based sequencing dedicated to making clinical genetic testing easy and affordable. We are developing a revolutionary single-molecule DNA sequencer that can improve the lives of people in a wide variety of ways including timely screening for diseases and diagnosis of various can
• Background & Context:The Organization is looking for a motivated and team-oriented individual who is passionate about next generation sequencing technology.

Key Responsibilities:

• Become an expert on the operation and functionality of the client's Sequencing Platform and Sample Prep platform to ensure minimal system down time
• Work with the engineering teams on resolving discovered issues and propose solutions to common failure modes
• Support the lab teams with system troubleshooting both at the hardware/software level and the assay level
• Execute experiments and testing protocols to ensure platform functionality
• Clearly and timely communicate and collaborate across system, device, instrument, and reagent teams in root cause investigation findings and solution implementations
• Help design, troubleshoot, and perform instrument development in a fast-paced environment
• Good understanding of statistical methods
• Excellent oral and written communication skills

Qualification & Experience:

• B.S. with 1-2+ years of experience in a Bioengineering, mechanical engineering, electrical engineering, computer engineering, mechatronics, or a related disciple
• Troubleshooting experience in development or operations of microfluidics, liquid handler, diagnostic systems, NGS systems. Experience in failure analysis and/or defect management is a plus.
• Understanding of sequencing methodologies
• Ability to perform statistical analysis of data with programs such as JMP, R, etc. Familiarity with computer programming in languages such as Python is a plus.
• Meticulous attention to detail and excellent written and electronic record keeping skills
• Strong oral and written communication skills
• Self-motivated and able to work well in a team
• Willing to work in a lab setting