Thermo Fisher Scientific

Thermo Fisher Scientific

Technical Support Specialist II

Hillsboro, Oregon, USA · Mid

Sponsorship not specifiedDetected 1 day ago
Customer SupportStructural AnalysisMicroscopyWriting

About the role

  • This position will sit at our Hillsboro, Oregon site.
  • At Thermo Fisher Scientific, each one of our 100,000 extraordinary minds has a unique story to tell.

Responsibilities

  • Partner closely with the field service team to quickly diagnose and repair assigned product lines.
  • Partner with Marketing, NPD, Applications and OE in developing technology roadmaps, to bring in the service related requirements and to sustain support through the life of the system.
  • Influence and drive meant time to repair (MTTR) and mean to between failure (MTBF) by examining equipment downtime and failures to improve overall performance

Requirements

  • Must have a business proficiency in English (verbal and written)

Nice to have

  • service tools, repair and installation
  • spares parts (including consumables)
  • all diagnostic and test procedures required for support of systems
  • Provide feedback to product quality teams, analyze and initiate improvement projects on systems and subsystems as required.
  • Bachelor's degree in Applied Physics, Electronics, or Electro-Mechanics preferred
  • Requires 2+ years' experience with service and/or manufacturing in high-tech industry or laboratory.
  • Comfortable in working with analytical equipment.
  • Preferably experience with LDB.

Skills

  • All-around technical knowledge and practical skills Multidisciplinary trouble shooting skills.
  • Knowledge, Skills, Abilities
  • Strong technical writing skills.
  • Other language skills are an asset.

Company info

  • Working with demanding customers and understands the importance of customer relations.
  • Join us and contribute to our singular mission-enabling our customers to make the world healthier, cleaner and safer.

This listing is sourced directly from Thermo Fisher Scientific's careers page and normalized into a canonical job model.