Data Scientist for Quality Transformation
4 days ago
Role Overview
The ideal candidate will join our Recruitment By Aphex Group team as a key contributor to the quality control network, transforming the way QC laboratories and operations leverage data to enhance quality, efficiency, and compliance.
About the Job
This role is critical to optimizing quality control processes and workflows. The successful candidate will have expertise in analyzing complex QC data streams, applying advanced data analytics to extract actionable insights, and driving digital transformation in quality operations.
- 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.
Requirements
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