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Senior QC Associate - Business Intelligence Support

Reference:SMC29908 Location: Dublin
Qualification:DegreeExperience:See description
Job Type:Fixed Term ContractSalary: Not Disclosed
May be suitable for: Business Analyst, QC Analyst

We’re currently recruiting for an exciting opportunity with an award-winning Biopharmaceutical 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.

This job specification outlines the general responsibilities associated with the role of Senior Associate responsible for QC Data Analytics, QC Metrics and LIMS support.


• Fostering a culture of data analytics and data visualisation through sharing of best practices and training of QC staff.
• Understanding business needs and developing practical data-driven solutions to meet those needs.
• Identify, manage and implement data analytics solutions for continuous improvement projects related to laboratory operations.
• Spotfire reports development.
• Development and execution of report validation protocols.
• User Acceptance Testing.
• Development activities in SharePoint and Microsoft teams.
• Liaise with IT teams for troubleshooting activities.
• Performing ad hoc data mining and analysis.
• Exploring and evaluating new digital tools and techniques to advance operational capabilities.
• Predictive Model Development. Assist in the development of a wide range of innovative data and analytics solutions, from descriptive to machine learning based. Creating analytical models and visualisations that make business and process data actionable.
• Provide support as required for design, build and validation activities related to LIMS system reports and associated downstream reporting application business reports.
• Provide support for QC Metric reporting activities.

Education & Experience

• Experience in a biopharmaceutical QC or related quality control or GMP laboratory experience in the pharmaceutical or medical device industry
• Familiarity with common laboratory operations systems, such as LIMS and LMES an advantage.
• Hold a third level qualification in data science, data analytics, data mining, computer science or related field.
• Proficiency in programming languages, with emphasis on SQL, Python, and/or R
• Experience with data visualisation tools or packages, such as Spotfire or Tableau
• Experience with advanced statistical/analytical techniques and machine learning algorithms an advantage.

If you would like further Information you can contact the recruiter directly:

Sean McCarthy | Tel: +353 (0) 87 798 8480