Quality Assurance Manager

Quality Assurance Manager

The Quality Assurance (QA) Manager is responsible for overseeing the implementation and maintenance of quality management systems (QMS) within the ISO 17025 accredited cannabis testing laboratory. The Quality Assurance Manager plays a critical role in ensuring the integrity, reliability, and compliance of testing processes and results.

Key Responsibilities

• Quality Management Systems : Develop, implement, and maintain comprehensive quality management systems (QMS) in accordance with ISO 17025 standards, Good Laboratory Practices (GLP), and regulatory requirements.
• Documentation Control : Establish and manage document control procedures for the creation, review, approval, distribution, and archiving of standard operating procedures (SOPs), protocols, forms, and other quality documents.
• Training and Education : Coordinate training programs and initiatives to ensure that laboratory personnel are adequately trained and competent in performing their duties in compliance with QMS requirements.
• Internal Audits : Conduct regular internal audits to assess the effectiveness of QMS implementation, identify areas for improvement, and address non-conformities through corrective and preventive actions (CAPAs).
• External Audits : Serve as the primary point of contact for external audits and inspections by regulatory agencies, accreditation bodies, and clients, facilitating the audit process and addressing findings and recommendations.
• Quality Control : Oversee quality control activities, including proficiency testing, method validation, equipment calibration, and proficiency testing, to ensure the accuracy, reliability, and consistency of testing results.
• Data Integrity : Implement and enforce policies and procedures to ensure the integrity, confidentiality, and security of laboratory data, including electronic records and data management systems.
• Continuous Improvement : Drive continuous improvement initiatives to enhance laboratory processes, systems, and performance, leveraging data-driven analysis and best practices.

Requirements

Benefits