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