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Lab Analyst

Job title: Lab Analyst
Contract type: Freelance
Location: Beaverton, Washington, Oregon
Discipline: Retail
Remote: No
Reference: 408830
Contact name: Shivani Sharma
Job Published: January 01, 1970

Job description

Our global footwear and apparel client is hiring a Lab Analyst on a 12 month contract that will likely extend and has the potential to covert to full time down the road if a good fit. This position is eligible for benefits and sick time.

This role requires and individual who can thrive in a rapidly changing landscape who will focus on the execution and curation of data collected in a lab-based setting.  In addition to data collection, this individual will be required to give context and meaning behind the numbers. A variety of equipment and measurement systems will be used to collect the necessary data.

The ability to schedule and manage a variety of testing plans and resources to meet overall project planning is a needed skill in the role.  Recipients of test updates will have varied backgrounds; the ability to tailor a message to an audience appropriately is extremely beneficial.

Required Qualifications

  • BS in Engineering or similar, ME or EE preferred.
  • Mechanical aptitude around basic maintenance of custom laboratory fixtures.
  • Experience with managing multiple workstreams and conducting lab-based testing on a variety of machinery and equipment
  • Participation in and contribution to cross-functional teams is required for success.
  • Excellent communication skills needed to present and share test results across a wide audience.
  • Previous experience with sport sensors and the quantification of athletic performance.
  • Ability to follow and improve laboratory protocols.
  • Ability to inspect data sets for anomalies using tool of choice (MATLAB, Python, Excell)
  • Excellent organization and attention to detail.

Beneficial Skills.

  • MS Degree in related fields of study.
  • A willingness to learn advanced statistical methods, such as Design of Experiments.
  • Experience with managing and analyzing large data sets.
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