Technical Services Coordinator
As Technical Services Coordinator, you will play a critical role in ensuring the maintenance of biopharmaceutical GMP equipment and laboratory assets that support Clinical Supply operations within a manufacturing pilot plant and development laboratories. Working within the R&D Engineering Department as part of the Technical Services and Facilities team, you will be accountable for managing service providers and third-party contractors, coordinating work to ensure maintenance is conducted efficiently and effectively to support manufacturing and scientific schedules.
This is a full-time onsite role at our King of Prussia site in the US.
Responsibilities :
Equipment Maintenance and Compliance :
- Maintain a variety of 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 preventative and corrective maintenance activities.Foster partnership with internal teams and external vendors to identify then 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 :
We are looking for professionals with these required skills to achieve our goals :
Minimum 4 years of experience working within a GMP environment.Experience with equipment and systems, including preventive and corrective maintenance practices.Experience with CMMS systems (e.g., EAM, SAP) and Six Sigma tools for root-cause analysis.Experience working collaboratively across diverse teams and managing multiple priorities.Experience with safety protocols, and regulatory compliance requirements.Preferred Skills & Qualifications :
If you have the following characteristics, it would be a plus :
Bachelor's degree in Engineering, Life Sciences, Business or a related technical field; Vocational Technical School or Military training also highly considered.Experience with implementing or exploring AI-driven solutions is a plus.Excellent organizational, communication, and problem-solving skills.