MedTech Process Engineer - Optimize Vision Care

Johnson & Johnson Innovative Medicine; Jacksonville (FL); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Onsite role

Job summary

Johnson & Johnson Innovative Medicine in Jacksonville, FL, is seeking a Process Engineer to join our Vision MedTech Process Engineering team. The role focuses on material properties, process efficiency, automated high‑speed manufacturing equipment, and measurement system analysis in GxP environments.

You will lead projects to improve efficiency, yield, and safety; apply statistical tools to manufacturing processes; and collaborate with cross‑functional teams to ensure compliant, robust processes

Qualifications

• Bachelor’s degree in Engineering or Materials Science with 2+ years of experience OR Master’s degree with 1+ year of experience.
• Project management experience in an engineering environment.
• Experience with data analysis and visualization using analytical tools.

Responsibilities

• Identify opportunities to develop equipment and process enhancements to improve efficiency, yield, and safety.
• Plan and implement projects aligned with strategic goals; design experiments and use statistical tools.
• Develop documentation for process validation, project management, and root-cause analysis; ensure compliance with standards.
• Monitor production data to identify trends and provide actionable insights for continuous improvement.

Skills

Project management

Analytical skills

Communication skills

Organizational skills

Statistical analysis tools

Team collaboration

Education

Bachelor’s degree in Engineering or Materials Science

Master’s degree in Engineering

Tools

Minitab

JMP

Job description

Johnson & Johnson Innovative Medicine in Jacksonville, FL, is seeking a Process Engineer to join our Vision MedTech Process Engineering team. The role focuses on material properties, process efficiency, automated high‑speed manufacturing equipment, and measurement system analysis in GxP environments.

You will lead projects to improve efficiency, yield, and safety; apply statistical tools to manufacturing processes; and collaborate with cross‑functional teams to ensure compliant, robust processes