Senior QC Associate -Data Analytics
RK4984
Contract 12 months
Dublin


We’re currently recruiting for an exciting opportunity with an award-winning Pharmaceutical organization based in Dublin. This is an excellent position for anyone who is looking to join a leading multinational who are one of the best at what they do.



Duties:

• Analyze and interpret complex QC data from laboratory instruments, manufacturing processes, and digital QC systems to improve decision-making and process efficiency.
• Collaborate with QC analysts to design and implement data-driven solutions for quality improvement and regulatory compliance.
• Assist in developing business cases and strategic recommendations for digital solution Developments.
• Support the definition and advancement of a self-service reporting model. Automate QC
• reporting and visualization using tools such as Spotfire, Power BI, Tableau to provide real-time insights.
• Ensure data integrity and traceability by working with structured and unstructured QC datasets from multiple laboratory sources, including LIMS, LMES, and real-time monitoring systems.
• Optimize laboratory workflows by integrating digital tools, AI-driven analytics, and automation to enhance data collection and reporting efficiency.
• Partner with business stakeholders to share data best practices, identify and drive business process data standardization initiatives.
• Provide support in developing executive communications and present analysis and insights to senior leadership.
• Support analytical reports maintenance and validation.
• Work closely with IT, data engineering, and digital transformation teams to enhance QC data management and accessibility.
• Drive innovation in digital QC strategies, leveraging big data analytics for enhanced quality monitoring and predictive quality insights

• Bachelor’s or Master’s degree in a relevant field such as Data Science, Chemistry, Biochemistry, Pharmaceutical Sciences, Engineering, or a related discipline.
• 5+ years of experience in Quality Control (QC) or Manufacturing setting, with a strong focus on QC data analysis and digital optimization.
• Deep knowledge of laboratory operations, analytical testing, quality control workflows, and regulatory requirements (e.g., GMP, GLP, FDA, ISO standards).
• Proficiency in programming languages with emphasis on SQL, Python and R.
• Experience with LIMS, MES, ELN, and other digital QC systems to