Continuous Improvement Engineer - Lean Six Sigma (Pharma)

Perrigouk; Michigan; Hybrid; USD 75,000 - 100,000; Full time

Benefits offered by this job

Competitive compensation

Career development opportunities

Comprehensive benefits

Job summary

Perrigo in Michigan is seeking a Continuous Improvement Engineer to provide technical support for incident investigations across our manufacturing facilities.

You will lead root cause analyses, develop corrective actions, and work with quality, manufacturing, and engineering teams to implement process improvements using Lean Six Sigma. The role emphasizes data-driven problem solving and cGMP familiarity.

Qualifications

• Bachelor’s degree in engineering, chemistry, pharmaceutical sciences, or related field.
• Knowledge of pharmaceutical manufacturing processes and cGMP.
• Strong written and verbal communication; able to work with staff at all levels.
• Experience with investigations and implementing process improvements.

Responsibilities

• Provide technical expertise to identify root causes of incidents and deviations.
• Develop and implement corrective and preventive actions.
• Collaborate with cross-functional teams to coordinate investigations.
• Conduct risk assessments to identify process improvements.
• Utilize Lean Six Sigma tools to drive continuous improvement.
• Collect and analyze data to identify trends.

Skills

Lean Six Sigma

Root cause analysis

Cross-functional collaboration

Data analysis

cGMP knowledge

SAP

Microsoft Excel

Microsoft Word

Technical writing

Education

Bachelor's degree in engineering, chemistry, pharmaceutical sciences or related field

Tools

SAP

Microsoft Office

Job description

Perrigo in Michigan is seeking a Continuous Improvement Engineer to provide technical support for incident investigations across our manufacturing facilities.

You will lead root cause analyses, develop corrective actions, and work with quality, manufacturing, and engineering teams to implement process improvements using Lean Six Sigma. The role emphasizes data-driven problem solving and cGMP familiarity.