Please ONLY local candidates to Warren NJMUST have pharmaceutical experience83653
TSR is a premier National U.S. Staffing company with over 50 years of staffing excellence.
Our client, a leading pharmaceutical company is hiring an Equipment Engineer for a 12+ months contracting assignment.
Must Haves :
- Knowledge of cGMP and good documentation practices
- Knowledge of pharmaceutical, manufacturing and laboratory systems and equipment
- Working knowledge of scheduling software and systems, and inventory management systems, e.g., Blue Mountain RAM and / or Maximo Computerized Maintenance Management System (CMMS)
- Requires BS in Engineering or Science related discipline preferred
- Minimum 3 years of experience in FDA-regulated industry
- Minimum 3 years of experience working directly with laboratory equipment (ex. centrifuges, temperature / humidity meters, balances, freezers, refrigerators etc.)
- Experience working in a clinical environment preferred
Pay : $44-45 / hour W2
Location : Warren NJ
Responsibilities :
- Executes equipment calibration, preventative maintenance, performance verification, troubleshooting and repair activities in laboratory and manufacturing areas, as required per current scheduling (CMMS) System
- Executes requalification on Controlled Temperature Units (ex. Refrigerators, Freezers (which includes -20°C / -80°C Freezers), Incubators, Cryotanks, Cryopods, and Storage Rooms / Areas)
- Owns and supports deviations and investigations that result from calibration or performance verification activities, along with developing and supporting the implementation of corrective and preventive actions
- Authors and supports the development, revision, and review of written Standard Operating Procedures (SOP) for calibration, preventive maintenance, and performance verification of instruments / equipment
- Escorts and supervises vendors for calibration, preventative maintenance, performance verification and repair functions as required per current scheduling (CMMS) System
- Follows cGMP (current Good Manufacturing Practices) and ALCOA principles ('ALCOA' defines that data should be Attributable, Legible, Contemporaneous, Original, and Accurate)