Reliability Engineer: Predictive Maintenance for Biopharma

ADMA Biologics; Boca Raton (FL); Hybrid; USD 95,000 - 130,000; Full time

Benefits offered by this job

401K

Medical Insurance

Pet Insurance

STD/LTD

Paid Holidays

Paid Time Off

Tuition Assistance

Shuttle Service

Job summary

ADMA Biologics in Boca Raton, FL, is seeking a Reliability Engineer to provide maintenance reliability and predictive maintenance support for the manufacturing facility, ensuring equipment stays in optimal operation and compliant with cGMP.

The role focuses on developing and implementing LCAM-based maintenance plans, performing root-cause analyses, and guiding teams to improve asset performance, with strong data analysis and problem-solving skills across manufacturing operations.

Qualifications

• Bachelor’s degree in mechanical engineering or equivalent.
• Minimum 5 years of reliability engineering/maintenance in a cGMP pharma environment.
• Experience with process equipment such as pumps, centrifuges, refrigeration.
• Strong data analysis and problem-solving skills.

Responsibilities

• Support the reliability and maintainability of new and modified installations.
• Develop LCAM processes for asset life cycle management.
• Perform design reviews and acceptance testing.
• Lead root-cause analyses and corrective actions.
• Collaborate with operations on asset utilization and OEE.
• Provide input to risk management plans.

Skills

Reliability engineering

Root cause analysis

FRACAS

FMEA

cGMP compliance

Data analysis

Weibull analysis

Six Sigma

Education

Bachelor’s degree in mechanical engineering

Tools

Microsoft Office

Excel

Microsoft Project

Job description

ADMA Biologics in Boca Raton, FL, is seeking a Reliability Engineer to provide maintenance reliability and predictive maintenance support for the manufacturing facility, ensuring equipment stays in optimal operation and compliant with cGMP.

The role focuses on developing and implementing LCAM-based maintenance plans, performing root-cause analyses, and guiding teams to improve asset performance, with strong data analysis and problem-solving skills across manufacturing operations.