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Working with InnoTECH Staffing

InnoTECH Staffing exists to help companies find and retain top talent with strategic placements so they can grow and be the best at what they do.

InnoTECH Staffing maintains a competitive advantage/edge with fast fulfillment, excellent customer and candidate relationships with honesty, integrity, understanding the value of the candidate and overall excellence.

Working with InnoTECH Staffing will be an experience like no other.

We are here for you. We want to understand your company, your goals, your culture, and what you look for in a potential employee.
We want to fully understand your needs so we can maximize our ability to help you. We offer guidance through the hiring process and will be your talent advisor, offering advice, market trends, and keep you updated on any market changes.

We represent talented candidates who are proven, skilled, and come highly recommended.

Our focus is Quality, Relationships, and Speed.

We offer expertise in the Engineering and Life Science market space, premium candidates, and one-on-one service.

We help startup to mid size companies in all industries including medical device, life science, robotics, automation, bio/pharma, software, healthcare, and energy/green.

Working with InnoTECH Staffing

  • Medical Device
  • Diagnostics
  • Biotech
  • Life Science
  • Automation
  • Robotics
  • Consumer
  • Product Development Firms
  • Military / Defense
  • Semiconductor

Areas of Expertise

  • Mechanical Engineering
  • Research Associate
  • Electrical Engineering
  • Scientist
  • Software Engineering
  • Biologist
  • Controls Engineering
  • Chemist
  • Automation Engineering
  • Process Development
  • Mechatronics Engineering
  • Formulation Scientist
  • Systems Engineering
  • MS&T
  • Quality / Regulatory
  • Microbiologist / Molecular
  • Project / Program Management
  • QC Chemist
  • Manufacturing Engineering / Process Engineering
  • Analytical Chemist
  • Quality Engineering
  • Test Engineering
  • R&D Engineering
  • Biomedical Engineering
  • Data Engineering / Data Science
  • Machine Learning / Artificial Intelligence
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