Job Description
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.
Manager Analytical & Data Science (m/f/d)
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
- MSc or PhD in Analytical Chemistry, Physical Chemistry, Chemical Engineering, Data Science or similar
- ≥2 years' industry experience in analytical method development and/or data science within an R&D environment
- Skilled in analytical instrumentation (rheometers, laser diffraction, XRD, GC-MS/LC-MS, and statistical tools (e.g., JMP, Python, R)
- Experienced in DoE and modelling complex systems
- Strong leadership and communication skills and strong cross-functional collaboration
- Fluent written and spoken English skills; German language skills would be advantageous
- Competitive salary and benefits package
- Opportunity to make a significant impact on a global scale
- Collaborative and innovative work environment
- Professional development opportunities and a commitment to your career growth
- Remote working policy