Job Description
Join a growing biologics drug substance manufacturing site in Dunboyne and play a key role in shaping the future of data-driven manufacturing. As Associate Director of Advanced Process Analytics, Data Literacy Modelling, you will lead the development and implementation of advanced analytics, predictive modelling, and digital solutions that enhance process understanding, operational performance, and product quality.
This strategic leadership role combines scientific expertise, digital transformation, and organisational change. You will work across manufacturing, technical, quality, automation, and digital teams to drive the adoption of Industry 4.0 technologies, establish advanced data capabilities, and build a culture where data and AI-enabled decision-making become part of everyday operations.
Bring energy, knowledge, and innovation to carry out the following:
- Develop and lead the site strategy for advanced process analytics, predictive modelling, and data-driven manufacturing.
- Drive the evolution of continued process verification through real-time data analysis, automated monitoring, and anomaly detection.
- Design and deploy advanced analytical models to support process understanding, troubleshooting, process optimisation, and operational performance.
- Partner with technical, manufacturing, and development teams to embed advanced analytics into new product introductions and technology transfers.
- Collaborate with digital, automation, IT, and data teams to integrate manufacturing and laboratory data across multiple systems.
- Ensure advanced analytics and digital solutions support regulatory requirements and data integrity standards.
- Champion digital transformation initiatives and identify opportunities to apply artificial intelligence and advanced analytics to scientific and engineering challenges.
- Lead site-wide programs to improve data and AI literacy across all levels of the organisation.
- Translate complex data science concepts into practical business solutions that drive adoption and engagement.
- Establish and grow a community of practice focused on analytics, data-driven decision-making, and capability development.
What Skills You Will Need
- Degree in Chemical Engineering, Bioengineering, Data Science, Statistics, or a related scientific discipline; advanced qualification preferred.
- Significant experience within biologics, biopharmaceutical, technical operations, manufacturing science, or process development environments.
- Deep understanding of biologics manufacturing processes, including upstream and downstream operations.
- Strong experience in advanced analytics, multivariate data analysis, statistical modelling, machine learning, or process modelling applications.
- Hands-on experience with data analytics and modelling tools such as Python, R, JMP, MATLAB, SEEQ, SIMCA, or similar platforms.
- Experience delivering digital transformation or data-driven improvement initiatives in a regulated manufacturing environment.
- Strong understanding of regulatory expectations relating to data integrity, validation, and process verification.
- Proven ability to lead cross-functional initiatives and influence stakeholders across technical and operational functions.
- Excellent communication skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences.
- Passion for innovation, continuous improvement, capability building, and fostering a data-driven culture.
Required Skills:
Automation Systems, Biological Manufacturing, Biopharmaceutical Industry, Business Process Modeling, Continuous Improvement, Cross-Functional Collaboration, Data Analytics, Data Modeling Tools, Digital Transformation, Process Analytics, Technical Operations, Unified Modeling Language (UML)
Preferred Skills:
Current Employees applyHERE
Current Contingent Workers applyHERE
Secondary Language(s) Job Description:
We keep the patient at the very heart of all that we do and strive to find solutions and treatments for some of the worlds most challenging healthcare needs.
As an equal opportunity employer, we are proud to be a company that embraces the value of bringing inclusive, talented, and committed people together.
Please dont hesitate to contact the Talent Acquisition Advisor assigned to this role should you need any support during our recruitment process.
We are committed to flexible working where possible, and this is why our Company has introduced a new hybrid working model for office-based colleagues around the world.
Please feel free to speak to us about what flexibility means to you during your application.
So, if you are ready to:
Invent solutions to meet unmet healthcare needs, please apply today.
Search Firm Representatives Please Read Carefully
Merck Co., Inc., Rahway, NJ, USA, also known as Merck Sharp Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Not Applicable
Shift:
Valid Driving License:
Hazardous Material(s):
Job Posting End Date:
07/27/2026*A job posting is effective until 11:59:59PM on the dayBEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFORE the job posting end date.
Requisition ID: R406716
