System Engineer- Hardware Support (Life SciencesBiotechPharma)

Our client a world leader in biotechnology and gene therapy is looking for a System Engineer- Hardware support based in Santa Clara CA.

Pay Rate : $32/hr on W2

Company Benefits: Medical Dental Vision Paid Sick leave 401K

Drawing on experience in systems biochemistry electrochemistry electromechanical and/or materials science the System Engineer will be part of the troubleshooting team and will be responsible for supporting the next generation sequencing system and the sample prep platform. This support role will require the candidate to be able to work in a fast paced environment typically supporting more than one issue at a time. The candidate must be self-motivated details-oriented and able to work well in a team.

Ideally this person would have a bachelors degree followed by some work experience troubleshooting complex systems.

Key Responsibilities:

• Become an expert on the operation and functionality of the Roche 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
  

Qualifications:

• 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.
  
  

If interested please send us your updated resume at

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