Medical Device Manufacturing Engineer – Process & Validation

Philips International; Bedford, Northern (MA, KY); Hybrid; USD 107,000 - 170,000; Full time

Benefits offered by this job

Generous PTO

401k match

HSA with company contribution

Stock purchase plan

Education reimbursement

Job summary

Philips is seeking an Advanced Manufacturing Engineer to support Bedford, MA production operations. You will troubleshoot production processes and equipment, lead IQ/OQ/PQ validation, and partner with quality, maintenance, and engineering to boost yields and efficiency.

You will develop and maintain manufacturing documentation and drive continuous improvement using data analytics. The role requires 5+ years in regulated manufacturing environments, proficiency in Lean/Six Sigma, and a bachelor's

Qualifications

• Minimum 5+ years in manufacturing operations, process validation, or related engineering roles.

Responsibilities

• Support daily manufacturing operations by troubleshooting production processes and equipment issues.
• Lead and support IQ/OQ/PQ validation activities to ensure compliance.
• Collaborate with cross-functional teams to improve yields and cycle times.
• Develop, maintain and improve manufacturing documentation and procedures.
• Drive continuous improvement using data-driven analyses and lean methods.

Skills

Root Cause Analysis

Process troubleshooting

Continuous improvement

Manufacturing process development

Equipment qualification

Process validation

Lean Manufacturing

Six Sigma

Statistical analysis

Data analytics

Education

Bachelor's degree in Engineering (Mechanical / Manufacturing / Industrial / Chemical / Biomedical)

Tools

Python

SQL

Power BI

Job description

Philips is seeking an Advanced Manufacturing Engineer to support Bedford, MA production operations. You will troubleshoot production processes and equipment, lead IQ/OQ/PQ validation, and partner with quality, maintenance, and engineering to boost yields and efficiency.

You will develop and maintain manufacturing documentation and drive continuous improvement using data analytics. The role requires 5+ years in regulated manufacturing environments, proficiency in Lean/Six Sigma, and a bachelor's