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 **Job Function:** R&D Product Development **Job Sub** **Function:** R&D Digital **Job Category:** Scientific/Technology **All Job Posting Locations:** Latina, Italy **Job Description:** The role would be to support modelling activities in the Manufacturing Science and Technology department within J&J Innovative Medicines. This would initially be a 12-month contract position. The role will involve building real-time monitoring models to support various manufacturing processes at both internal and external drug substance and drug product facilities. In addition, the position would likely include investigational support (with SIMCA, R, python, etc.) for identifying process optimizations and/or root cause analysis. Finally, the role may also involve developing characterization models for specific stages of the manufacturing process. We are seeking an experienced and highly motivated data scientist to join our growing Process Science, Modeling and Data team. The ideal candidate thrives in a collaborative environment, possesses a strong analytical mindset, and demonstrates exceptional problem-solving skills. In this role, you will have the unique opportunity to work alongside a team of innovative professionals who are committed to making a positive impact in the field of pharmaceutical manufacturing. Primary Responsibilities: + Develop and deploy real-time multivariate monitoring models to support technology transfer and manufacturing of Synthetics’ processes. + Design, develop and implement machine learning and AI models to support business and operational decisions. + Analyze large-scale, high-dimensional data from manufacturing, quality and operational sources. + Collaborate closely with cross-functional teams, including engineering, IT, quality and production. + Evaluate model performance and ensure robustness, interpretability and compliance with industry standards. + Keep up to date with emerging trends and technologies in AI, machine learning and pharmaceutical manufacturing. Qualifications: + Master’s or PhD in Data Science, Computer Science, Engineering or other science related fields. + Strong knowledge of statistical modeling, time series analysis and predictive analytics. + Solid expertise in AI/ML frameworks and tools (e.g., Python, scikit-learn, TensorFlow, PyTorch). + Excellent problem-solving skills and ability to work both independently and in a team environment. + Excellent verbal and written communication skills. + Result-oriented; entrepreneurial mindset; sense of urgency and prioritization. + Experience with continuous manufacturing processes in the pharmaceutical industry is a plus. + Fluency in English.