Senior QC Associate - QC Data Scientist
Our Pharmaceutical are seeking a highly skilled Specialist with Data Scientist expertise to join the QC Network Team as a key contributor to the QC Digital Optimization Team on an initial 12 month contract. This role is critical to transforming how QC laboratories and operations leverage data to enhance quality, efficiency, and compliance.
The ideal candidate has hands-on experience in a QC laboratory environment, a strong understanding of QC processes and regulations, and expertise in analysing complex QC data streams. The role applies advanced data analytics to extract actionable insights, optimise QC workflows, and drive digital transformation across quality operations.
Responsibilities:
Analyse 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 supporting quality improvement and regulatory compliance.
Assist in developing business cases and strategic recommendations for digital solution development.
Support the definition and advancement of a self-service reporting model, including automation of QC reporting and visualisation using tools such as Spotfire, Power BI, and 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.
Optimise 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 and identify and drive business process data standardisation initiatives.
Provide support in developing executive-level communications and present analyses and insights to senior leadership.
Support analytical report maintenance and validation activities.
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 to enable enhanced quality monitoring and predictive quality insights.
Preferred Qualifications
Bachelor's or Master's degree in a relevant discipline such as Data Science, Chemistry, Biochemistry, Pharmaceutical Sciences, Engineering, or related field.
5+ years of experience in a Quality Control (QC) or Manufacturing setting, with a strong focus on QC data analysis and digital optimisation.
Strong knowledge of laboratory operations, analytical testing, QC workflows, and regulatory requirements (e.g. GMP, GLP, FDA, ISO standards).
Proficiency in programming languages, with emphasis on SQL, Python, and R.
Experience using data visualisation tools such as Spotfire, Power BI, or Tableau.
Experience working with LIMS, MES, ELN, and other digital QC systems to extract, analyse, and interpret complex datasets.
Strong background in statistical data analysis, process monitoring, and root cause investigations within QC environments.
Experience applying advanced statistical and analytical techniques, including machine learning algorithms for structured and unstructured data.
Experience with Databricks platform for data analytics and MLOps.
Experience working with big data platforms, cloud-based analytics (AWS, Azure, GCP), and automation tools for QC data integration.
Ability to translate complex QC datasets into actionable insights that improve laboratory efficiency, compliance, and decision-making.
Experience in pharmaceutical, biotech, medical device, or other highly regulated industries where QC compliance is critical.
Strong understanding of data governance, audit trail management, and data security best practices within a QC setting.
Expertise in QC technology and digital transformation initiatives.
Excellent organisational, communication, and time management skills.
Ability to work under minimal supervision while identifying and managing competing priorities.
Berkley Life Science & Engineering is a specialist consultancy recruiting Life Science & Engineering professionals for organisations throughout Ireland; for more information go to www.berkley-
If you would like to discuss this vacancy further or to discuss your career options in confidence, please contact David O'Connell on or send your CV to -