Technical Services Coordinator

Role Summary

Technical Services Coordinator responsible for maintaining biopharmaceutical GMP equipment and laboratory assets supporting Clinical Supply operations within a manufacturing pilot plant and development laboratories. Works within the R&D Engineering Department as part of the Technical Services and Facilities team, managing service providers and third-party contractors, and coordinating work to ensure maintenance is conducted efficiently to support manufacturing and scientific schedules. This is a full-time onsite role at the King of Prussia site in the US.

Responsibilities

• Equipment Maintenance and Compliance:
  • Maintain biopharmaceutical process equipment including laboratory benchtop, analytical equipment, and pilot-scale equipment such as mammalian cell culture single-use bag reactors, stainless steel microbial fermentors, centrifuges, protein purification/filtration systems, CIP systems, equipment washers, and autoclaves.
  • Coordinate with internal technicians, vendors, and third-party contractors to execute timely maintenance activities to ensure all equipment remains cGMP-compliant and operating safely.
• Scheduling and Coordination:
  • Collaborate with stakeholders to proactively plan maintenance activities around manufacturing and scientific schedules.
  • Develop clear scopes of work for vendors and third-party contractors to ensure maintenance tasks are efficiently executed.
• Safety Compliance:
  • Manage and generate Safe Work Permits (PTW), Lock-out-Tag-out (LOTO), Hazardous Energy Control Procedures (HECP), and Job Hazard Analysis (JHA) for internal teams, service partners, and third-party contractors.
• Procurement and Documentation:
  • Generate purchasing requisitions for parts, maintenance services, and service contracts.
  • Follow up on receipt of parts/services and support invoicing processes.
• Troubleshooting and Problem-Solving:
  • Support equipment troubleshooting efforts and participate in root-cause analysis for equipment-related failures using Six Sigma tools to address safety and quality investigations.
  • Provide recommendations to improve preventive maintenance task lists, ensuring alignment with equipment manufacturer recommendations.
• Maintenance Excellence Deliverables:
  • Drive a culture of Maintenance Excellence by ensuring efficient processes for planning, scheduling, and executing preventive and corrective maintenance activities.
  • Foster partnership with internal teams and external vendors to identify and implement opportunities for process improvement and long-term reliability.
• AI Integration in Maintenance:
  • Explore opportunities for leveraging Artificial Intelligence (AI) tools to enhance predictive maintenance capabilities, improve asset reliability, and streamline maintenance operations.
  • Collaborate with cross-functional teams and external partners to evaluate and implement AI-driven solutions for maintenance optimization.
• Communication and Stakeholder Management:
  • Maintain open communication channels with management and operational areas, including Facility Engineers, Maintenance/CMMS Engineers, Process Engineers, Safety Engineers, Manufacturing Operators/Supervisors, Validation specialists, Quality Assurance colleagues, Procurement, auditors, and third-party service contractors (e.g., HVAC, clean utilities, infrastructure, plumbers, automation engineers).
• On-Call Support:
  • Provide occasional off-hour on-call support for troubleshooting process equipment and utilities alarms.

Qualifications

• Required: Minimum 4 years of experience working within a GMP environment.
• Required: Experience with equipment and systems, including preventive and corrective maintenance practices.
• Required: Experience with CMMS systems (e.g., EAM, SAP) and Six Sigma tools for root-cause analysis.
• Required: Experience with safety protocols, and regulatory compliance requirements.
• Preferred: Bachelor's degree in Engineering, Life Sciences, Business or a related technical field; Vocational Technical School or Military training also highly considered.
• Preferred: Experience with implementing or exploring AI-driven solutions is a plus.
• Preferred: Experience working collaboratively across diverse teams and managing multiple priorities.
• Preferred: Excellent organizational, communication, and problem-solving skills.

Education

• Bachelor’s degree in Engineering, Life Sciences, Business or a related technical field (or equivalent vocational/military training).