Associate Director – Advanced Process Analytics, Data Literacy & Modelling (Dunboyne)
Core
Lead the development and implementation of advanced analytics, predictive modelling, and digital solutions to enhance process understanding, operational performance, and product quality in biologics drug substance manufacturing.
Role type
Associate Director, Advanced Process Analytics & Data Literacy
Builds
Digital solutions for process understanding, troubleshooting, and optimization in biologics manufacturing
Domain
Biopharmaceuticals / Biologics Manufacturing
Deliverable
production ML models | product features
Required skills
Advanced process analytics, Multivariate data analysis, Statistical modelling, Machine learning, Python, R, JMP, MATLAB, SEEQ, SIMCA, Regulatory data integrity knowledge, Cross-functional leadership, Digital transformation strategy
Preferred skills
Advanced qualification in Chemical Engineering or Data Science, Experience with Unified Modeling Language (UML), Capability building and community of practice development
Technologies
Python, R, JMP, MATLAB, SEEQ, SIMCA, UML
Responsibilities
Develop site strategy for advanced process analytics and predictive modelling, Drive continued process verification through real-time data analysis and anomaly detection, Design and deploy analytical models for process optimization, Partner with technical teams to embed analytics in new product introductions, Integrate manufacturing and laboratory data across multiple systems, Champion digital transformation and AI applications, Lead programs to improve data and AI literacy across the organization
Seniority
Senior, strategic leadership with hands-on technical expertise
