System Engineer - Hardware Support (Life Sciences/Biotech/Pharma)

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 bachelor's 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

[email protected]/[email protected]