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Thin Film Process Engineer

Job in Boulder, Boulder County, Colorado, 80301, USA
Listing for: Yoh Services LLC
Full Time position
Listed on 2026-10-11
Job specializations:
  • Engineering
    Process Engineer, Manufacturing Engineer, Quality Engineering
Salary/Wage Range or Industry Benchmark: 74000 - 105000 USD Yearly USD 74000.00 105000.00 YEAR
Job Description & How to Apply Below

Yoh Life Sciences is hiring for a Thin Film Process Engineer in Longmont, CO for a leading diagnostic company. The Process Engineer will support transfer and development of new products and processes. You will support manufacturing, while maintaining and improving upon existing equipment as well as ensuring product quality and yield.

Position:

Process Engineer II

Pay:

$84, DOE

Location:

Longmont, CO

Duration:

FTE

Ideally like to have 1 in each of the following backgrounds –
  • Automation process engineer
  • Surface chemistry that will introduce new equipment and focus on developing new standards and processes
  • 5-7 years of experience, no more than 8 years.
Automation Process Engineer
  • Must have experience with relevant equipment for automation assembly,
  • Experience with auto assembly, laser welding, pouching, Thin Film, microarray printing.
Surface Chemistry
  • The individual needs to have experience with thin films and etching.
  • Must have strong GDP experience and produce quality documents.
  • 5-7 years in manufacturing as a process engineer, does not need to be from med device or diagnostics just relevant to the automation equipment and auto line machines, IQ/OQ/PQ.
  • Experience with new equipment introduction, qualifying, process improvement and cost savings
  • Would like to know what type of cost saving methods you've introduced
Responsibilities
  • Lead efforts to provide sustaining support to operations utilizing continuous improvement principles and technical support to operations utilizing root cause analysis to implement corrective actions.
  • Enables company growth by ensuring on-time equipment milestone deliveries.
  • Recommends and implements equipment and process modifications to improve production efficiencies, manufacturing techniques and production yields for existing products.
  • Assists in developing high level capital equipment integration protocols and procedures for manufacturing.
  • Develops and conducts statistical analysis such as Design of Experiments (DOE) and Statistical Process Control (SPC) targeting physical cause of failure for yield loss and improving quality. Active database and data management allowing for process performance assessment via GR&R, Yield Tracking and Cpk analysis.
  • Accurately documents all work products to ensure equipment qualifications and in line with and follow IQ, OQ, PQ requirements.
  • Interacts with design staff to ensure that processes and designs are compatible with existing equipment.
  • Translate design requirements into production by defining, designing and/or communicating efficient and capable process tooling.
  • Utilizing GDP, author documents including but not limited to manufacturing Standard Operating Procedures (SOPs), and detailed work instructions.
  • Trains manufacturing staff on proper processes to follow when operating equipment, including wave-guide instrument(s).
  • Ensures that team and staff members follow safety rules and protocol.
Experience
  • Bachelor’s degree in engineering or related field required; master’s degree preferred.
  • Five to seven (5-7) years prior experience in an R&D or production environment with proven success of process improvement and scale-up projects.
  • Experience in a regulated environment (FDA, ISO, etc.), preferred.
  • Experience in project management preferred.
  • Experience in the medical device field, specifically invitro diagnostics, preferred.
  • Licenses or certifications such as ISO, PMP, LEAN, IFMA, MPS, Six Sigma, cGMP, preferred.
  • Excellent written and verbal communication skills; able to communicate technical information to technical and non-technical staff to ensure understanding.
  • Excellent problem-solving skills and demonstrated ability to collaborate in problem solving.
  • Excellent data gathering and analysis skills.
  • Excellent electro-mechanical equipment development and…
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