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Quality Assurance Supervisor

Eva Pharma
CompanyEva Pharma
CategoryOperations & Admin
LocationGiza
RemoteOn-site (inferred)
EmploymentFull-time
LevelManager
SalaryNot stated by the employer
Posted12 May 2026
Last verified3 Aug 2026
SourceEmployer ATS (workable)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members. Job Summary We are seeking a passionate and talented Quality Assurance Supervisor to join our dynamic team. The ideal candidate will contribute to our mission of enhancing human health and well-being while ensuring compliance with the highest quality and GMP standards. The role involves supervising QA operations, supporting continuous improvement initiatives, and ensuring effective implementation of quality systems across operations. Key Responsibilities:    Provide oversight of manufacturing and packaging operations, ensuring full compliance with GMP, SOPs, and data integrity requirements, while supporting continuous improvement initiatives. Review and approve batch records and logbooks, ensuring completeness, accuracy, and compliance with GDP standards. Lead the handling of deviations, complaints non-conformities, and incidents, including conducting or supporting root cause investigations and ensuring effective implementation and follow-up of CAPA.  Review the mutual QTAs with the company's partners. Lead the handling of change control management system and follow up the relevant actions. Requirements Bachelor’s degree in Pharmacy. 4–6 years of relevant experience in a pharmaceutical QA environment. Strong knowledge of cGMP and GDP principles. Solid understanding of CAPA, change control, deviation management, and quality documentation systems. Familiarity with ISO 9001, quality systems, and safety programs. Good understanding of validation principles and basic statistical concepts. Strong communication, leadership, and problem-solving skills.
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