Apprentice

About the Role

The Quality Assurance (QA) Apprentice supports quality assurance activities to ensure products are manufactured in compliance with cGMP, SOPs, regulatory requirements, and company quality standards. This role assists in documentation, inspections, audits, and quality systems while ensuring product quality, data integrity, and continuous improvement.

Key Responsibilities

• Assist in implementing and maintaining Quality Assurance systems in accordance with cGMP, GDP, and regulatory requirements.
• Review Batch Manufacturing Records (BMRs), Batch Packaging Records (BPRs), and other production documents for completeness and accuracy.
• Perform line clearance verification before and after manufacturing and packaging activities.
• Support in-document review, issuance, retrieval, and archival of controlled documents.
• Assist in monitoring Good Documentation Practices (GDP) across manufacturing areas.
• Participate in in-process quality checks and routine shop-floor inspections.
• Report deviations, non-conformances, and quality incidents to the QA Officer or Supervisor.
• Assist in investigations, CAPA implementation, change control, and risk assessment activities.
• Support internal audits, self-inspections, customer audits, and regulatory inspections.
• Ensure calibration, qualification, and validation documents are maintained as per SOPs.
• Coordinate with Production, QC, and Warehouse, Engineering, and EHS departments to ensure compliance.
• Maintain accurate records in logbooks, quality systems, and electronic databases where applicable.
• Support training activities related to GMP, SOPs, and quality systems.
• Follow safety procedures and ensure compliance with EHS requirements.

Requirements & Tech Stack

• Basic knowledge of Quality Assurance principles
• cGMP, GDP, and regulatory compliance
• Batch Manufacturing Record (BMR) and documentation review
• Good Documentation Practices (GDP)
• Deviation, CAPA, and Change Control awareness
• Internal audit and inspection support
• Validation and qualification basics
• Data integrity principles

Qualifications (Behavioral)

• Attention to Detail
• Teamwork and Collaboration
• Strong Communication Skills
• Problem-Solving Ability
• Learning Agility