About The Position

To conceive, design, implement and execute specific scientific experiments, which contribute to the successful completion of goals and/or projects under general guidance of supervisor.

Requirements

  • Automated Visual Inspection (AVI) Expertise (Key Differentiator - Highly Desired)
  • Direct experience with automated visual inspection systems, such as: Machine vision–based inspection platforms Camera systems, lighting optimization, optics Image acquisition and defect detection logic
  • Knowledge of AVI system qualification and validation: IQ/OQ/PQ Performance qualification using defect kits
  • Experience developing or supporting: Inspection recipes Defect libraries and defect standards Sensitivity and false reject optimization Familiarity with manual vs automated inspection correlation
  • Doctorate or master + 2 years of Scientific experience or Bachelors + 4 years of Scientific experience.
  • Chemical Engineering, Mechanical Engineering, Biomedical Engineering, Materials Science, Pharmaceutical Sciences, or related field.

Nice To Haves

  • Data, Statistics & Digital Skills (Preferred)
  • Strong statistical background, including: Sampling plans (AQL, zero acceptance, etc.) Inspection capability studies Measurement system analysis (MSA)
  • Experience with data analysis tools: JMP, Minitab, Python, or equivalent
  • Comfort working with large inspection datasets to: Trend defect rates Support process improvements Drive inspection strategy decisions
  • Training in vision systems (i.e., Cognex, Systech, Syntegon, Koerber, A3 CVP, PDA 593)

Responsibilities

  • Designs, monitors, or conducts strategies with general guidance from the supervisor.
  • Provides data analysis and interpretation and assesses the impact of the data on the project.
  • Keeps current in technical expertise and areas relevant to their function.
  • Monitors field of expertise, including literature and technology development, and communicates relevant observations.
  • Develop and implement new and novel protocols to address specific issues.
  • May represent the department on project teams under the supervision of a senior scientific staff member.
  • May initiate productive collaborations within and outside of the department or company.
  • Advises or assists others in experimental design and/or interpretation/diagnosis of data and implementing innovative remedies.
  • Able to develop solutions to routine technical problems of limited scope.
  • Comprehensive understanding of validation protocol execution requirements.
  • In-depth knowledge of validation processes as applied to new equipment installations.
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