MSAT PSMD SR SCIENTIST

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

R&D Product Development

Job Sub Function:

R&D Digital

Job Category:

Scientific/Technology

All Job Posting Locations:

Ringaskiddy, Cork, Ireland

Job Description:

Senior Scientist, Process Science Modeling & Data (PG26)

Position Summary

The Process Science Modeling & Data (PSMD) team within Manufacturing Science & Technology (MSAT) is seeking a highly motivated Senior Scientist to drive the development, deployment, and lifecycle management of advanced data-driven solutions supporting pharmaceutical manufacturing.

This role will be responsible for applying multivariate data analysis (MVDA), advanced process control (APC), statistical modeling, machine learning, and real-time process monitoring technologies to enable manufacturing excellence across commercial and pipeline products. The successful candidate will partner with manufacturing, process science, quality, automation, and digital organizations to deliver innovative solutions that improve process understanding, operational performance, robustness, and product quality.

This position offers the opportunity to influence the future of digital manufacturing through advanced analytics, process monitoring, and model-based decision support across a global manufacturing network.

Primary Responsibilities

• Develop, deploy, monitor, and maintain multivariate statistical models supporting pharmaceutical manufacturing processes.
• Lead application of MVDA methodologies, including process monitoring, fault detection, root cause analysis, and process characterization.
• Support development and implementation of Advanced Process Control (APC) solutions across drug substance and drug product manufacturing platforms.
• Analyze complex manufacturing, quality, laboratory, and process data to identify optimization opportunities and support technical investigations.
• Design and execute advanced analytics, machine learning, and predictive modeling initiatives that improve business and operational performance.
• Collaborate with site MSAT teams to support technology transfers, process validation, continued process verification, and lifecycle management activities.
• Provide technical leadership for model governance, validation, deployment, performance monitoring, and model lifecycle management.
• Translate analytical insights into actionable recommendations for cross-functional stakeholders.
• Develop technical documentation including protocols, reports, work instructions, and procedures supporting the use of analytical and modeling solutions within GMP environments.
• Partner with Digital, Automation, IT, Quality, Manufacturing, and Engineering organizations to ensure successful implementation and sustainability of analytics solutions.
• Stay current with emerging technologies and industry trends in data science, artificial intelligence, process analytics, digital manufacturing, and pharmaceutical process monitoring.
• Mentor junior scientists and contribute to the development of PSMD capabilities and best practices across the organization.

Qualifications

Required

• Bachelor's, Master's, or PhD degree in Chemical Engineering, Engineering, Data Science, Statistics, Computer Science, Pharmaceutical Sciences, Mathematics, Chemistry, or related scientific discipline.
• Strong understanding of statistical analysis, process modeling, and data analytics.
• Experience working with large and complex datasets from manufacturing, laboratory, quality, or operational systems.
• Proficiency in at least one scientific programming language or analytics platform such as Python, R, MATLAB, or equivalent.
• Demonstrated ability to solve complex technical problems using data-driven approaches.
• Strong communication, presentation, and stakeholder engagement skills.
• Ability to operate independently while collaborating effectively within multidisciplinary teams.
• Fluency in English.

Preferred

• Experience with MVDA tools such as SIMCA, SIMCA Online, JMP, Seeq, or equivalent platforms.
• Experience with multivariate process monitoring, PCA, PLS, chemometrics, or related modeling techniques.
• Experience supporting Advanced Process Control (APC) or Process Analytical Technology (PAT) programs.
• Knowledge of pharmaceutical manufacturing processes including drug substance and/or drug product operations.
• Familiarity with GMP/GxP environments and regulatory expectations related to analytics and computerized systems.
• Experience applying machine learning and artificial intelligence techniques in manufacturing environments.
• Exposure to real-time monitoring solutions, model deployment infrastructure, and digital manufacturing initiatives.
• Experience leading cross-functional projects and influencing technical strategy.

Leadership Expectations

• Demonstrate scientific leadership and technical excellence in advanced analytics and process modeling.
• Influence strategy and drive adoption of innovative digital and analytical solutions.
• Build strong partnerships across functions and manufacturing sites.
• Contribute to a culture of continuous improvement, innovation, and knowledge sharing.
• Coach and develop colleagues while fostering collaboration across the global PSMD network.

Required Skills:

Preferred Skills:

Analytical Reasoning, Critical Thinking, Data Savvy, Digital Fluency, Digital Strategy, Engineering, Product Design, Product Development, Product Improvements, Product Portfolio Management, Report Writing, Research and Development, Safety-Oriented, SAP Product Lifecycle Management, Statistics, Technical Credibility, Technologically Savvy

The anticipated base pay range for this position is:

€68 000,00 - €109 250,00

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.

About Us

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/.

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