QA/QC Analyst

Role & responsibilities

Conduct routine analytical testing and inspections of raw materials, in-process samples, and finished products to ensure compliance with quality standards and specifications.

• Implement and maintain quality assurance systems and standard operating procedures to comply with regulatory requirements and best industry practices.
• Monitor and document results from quality control analyses, ensuring proper records are kept to satisfy Good Documentation Practices (GDP) and regulatory audits.
• Investigate deviations, non-conformances, or out-of-specification results, perform root cause analysis, and implement corrective and preventive actions (CAPA).
• Participate in the validation and qualification of equipment, methods, and processes, and support internal and external audits.
• Analyze statistical quality data, identify trends or recurring quality issues, and recommend process/product improvements for continuous quality enhancement.
• Ensure all activities and results comply with safety, health, and environmental regulations as well as internal company policies.
• Collaborate with production, R&D, and cross-functional teams to resolve quality issues quickly and efficiently.

Preferred candidate profile

Bachelors degree in Chemistry, Materials Science, Engineering, Life Sciences, or related technical field.

• 14 years of experience in a QA/QC or analytical testing environment, preferably in manufacturing, industrial, or laboratory settings.
• Familiarity with analytical methods (e.g., FTIR, UV-Vis, HPLC, GC, titration, particle size analysis) and standard laboratory practices.
• Strong understanding of quality principles (ISO 9001, GMP, GLP, or relevant sector-specific standards).
• Experience with quality management systems (QMS), deviation management, and CAPA processes is a plus.
• Analytical skills, meticulous attention to detail, and an organized, methodical approach to documentation and data analysis.
• Good communication and teamwork skills to collaborate across departments for process improvements and corrective actions.
• Proficiency in computer applications and statistical analysis tools (such as Excel, minitab, or laboratory information management systems).