Quality Engineer - MedTech, Data-Driven CAPA & Validation

Becton Dickinson; Columbus (NE); On-site; USD 65,000 - 90,000; Full time

Job summary

Becton, Dickinson and Company in the USA is seeking a Quality Engineer to oversee quality needs for a product line across multiple processes. You will assist and manage plant projects, participate in audits, and drive to completion with data-driven decisions.

The role requires 0-5 years in a quality/technical setting, a BA/BS in Engineering, and familiarity with CAPA, validation, and MSAs. Pharma/biotech/medical device exposure is preferred; location is Columbus, NE.

Qualifications

• BA/BS in Engineering required.
• 0-5 years in quality/technical role.
• Experience at Pharma/Biotech/Medical Device manufacturer preferred.
• Knowledge of CAPA, audits, data analysis.

Responsibilities

• Oversees quality needs for a product line across multiple processes.
• Assist and/or manage plant projects and drive to completion.
• Participate in audits as process and quality systems.
• Develop root cause investigation and CAPA experience.
• Develop understanding of the validation system and assist in validations.
• ConductMeasurement System Analysis.
• Conduct diagnostic and statistical analysis of methods, equipment and materials to improve product quality, process reliability and cost.
• Assist in meeting plant team plans for cost and quality improvement, operating within department budget guidelines.
• Demonstrate ability to make data driven decisions.
• Other duties as required to support the needs of the business.
• Completion of projects on time and on budget.
• Complete investigations and validations.

Skills

Problem solving

Project management

Data driven

Statistical

Communication

Education

BA/BS Degree in Engineering

Job description

Becton, Dickinson and Company in the USA is seeking a Quality Engineer to oversee quality needs for a product line across multiple processes. You will assist and manage plant projects, participate in audits, and drive to completion with data-driven decisions.

The role requires 0-5 years in a quality/technical setting, a BA/BS in Engineering, and familiarity with CAPA, validation, and MSAs. Pharma/biotech/medical device exposure is preferred; location is Columbus, NE.