Job Title: QC Specialist Data Analytics
We are seeking a highly skilled QC Specialist Data Analytics to join our team at Horizon. The successful candidate will play a key role in Quality Transformation and the QC Optimization Initiative.
The Role Summary:
* Apply advanced data analytics to extract actionable insights
* Optimize QC workflows and drive digital transformation in quality operations
About the Opportunity:
This is an excellent opportunity to work with a world-class manufacturing operation, renowned for its track record of delivering high-quality medicines to patients worldwide.
Our client has a strong culture of continuous improvement and innovation, striving for solutions that improve health outcomes and dramatically enhance people's lives.
With the capability to produce all its medicines in Dublin, ensuring continuity of supply as it expands internationally, this is a unique chance to make a meaningful impact.
Key Responsibilities:
* Analyze and interpret complex QC data from laboratory instruments, manufacturing processes, and digital QC systems
* 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
* Ensure data integrity and traceability by working with structured and unstructured QC datasets
* Optimize laboratory workflows by integrating digital tools, AI-driven analytics, and automation
* Partner with business stakeholders to share data best practices and identify 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
Requirements:
* Doctorate degree and 2 years of Project Management, Quality and/or Operations experience OR Masters degree and 6 years of Project Management, Quality and/or Operations experience OR Bachelors degree and 8 years of Project Management, Quality and/or Operations experience
* Preferred to have a Bachelors or Masters 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
* Proficiency in programming languages with emphasis on SQL, Python and R
* Experience with data visualization tools or packages, such as Spotfire, Power BI or Tableau
* Experience with LIMS, MES, ELN, and other digital QC systems
* Strong background in statistical data analysis, process monitoring, and root cause investigations in QC environments
* Experience with advanced statistical/analytical techniques and machine learning algorithms
* Experience with Databricks platform for data analytics and MLOps
* Ability to translate complex QC datasets into actionable insights