Jungbunzlauer is a leading producer of high-quality, sustainable ingredients from natural sources, serving industries from food and beverage, nutrition, health, and home and personal care. As a trusted partner, we offer a diverse portfolio of texturants, acidulants, minerals, and tailored solutions to meet our customers’ evolving needs. Headquartered in Basel, Switzerland, with state-of-the-art facilities including large-scale fermentation operations across Europe and North America, we proudly serve over 130 countries worldwide.
Founded more than 150 years ago, Jungbunzlauer has grown into a CHF 1.3 billion company, driven by nearly 1,400 dedicated colleagues committed to a healthier, more sustainable future. Learn more www.jungbunzlauer.com

KEY TASKS AND RESPONSIBILITIES:

Lead a team advancing analytical methods and predictive models to enhance understanding and performance of biotech-derived ingredients. Strengthen data-driven decision-making across global R&D sites through robust statistical tools, standardized methods, and real-time data insights.

KEY RESPONSIBILITIES

• Analytical Development
• Develop & validate methods for product characterisation (rheology, crystal morphology, impurity profiling, etc.)
• Define critical quality attributes for new ingredients
• Data Science & Modeling
• Build predictive models linking molecular structure to functional performance
• Apply multivariate analysis, DoE, and real-time data pipelines
• Leadership & Standardisation
• Lead a small team of scientists and assistants
• Standardising analytical SOPs and QA/QC metrics across sites
• Cross-Functional Collaboration
• Ensure method transfer to QC and MSAT teams
• Interface with external labs and customers to support analytics and troubleshooting