Manager Analytical & Data Science (m/f/d)

Wacker Chemie AG; Ladenburg; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading producer of biotech-derived ingredients is seeking a professional to lead a team focused on advancing analytical methods and predictive models. The role involves developing methods for product characterization, building predictive models, and leading a small team to standardize processes. Candidates should hold an MSc or PhD in relevant fields and have experience in analytical method development. Proficiency in English is essential, with German as a plus.

Qualifikationen

• At least 2 years of experience in analytical method development and/or data science.
• Experience with analytical instruments and statistical tools.
• Strong leadership and communication skills.
• Fluent in English; German skills are a plus.

Aufgaben

• Develop and validate methods for product characterization.
• Build predictive models and apply multivariate analyses.
• Lead a team, standardize analytical SOPs and metrics.
• Ensure method transfer to QC and collaborate with external labs.

Kenntnisse

Analytical method development

Data science

Leadership skills

Interdisciplinary collaboration

Ausbildung

MSc or PhD in Analytical Chemistry, Physical Chemistry, Chemical Engineering, Data Science

Tools

Rheometer

Laser diffraction

XRD

GC-MS

LC-MS

JMP

Python

R

Jobbeschreibung

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.

Responsibilities include:

1. Analytical Development: Develop and validate methods for product characterization (rheology, crystal morphology, impurity profiling, etc.), define critical quality attributes for new ingredients.
2. Data Science & Modeling: Build predictive models linking molecular structures with functional performance, apply multivariate analyses, DoE, and real-time data pipelines.
3. Leadership & Standardization: Lead a small team of scientists and assistants, standardize analytical SOPs and QA/QC metrics across sites.
4. Interdisciplinary Collaboration: Ensure method transfer to QC and MSAT teams, liaise with external labs and customers for analysis support and problem-solving.

Qualifications:

• MSc or PhD in Analytical Chemistry, Physical Chemistry, Chemical Engineering, Data Science, or related field.
• At least 2 years of experience in analytical method development and/or data science in R&D environment.
• Experience with analytical instruments (rheometer, laser diffraction, XRD, GC-MS/LC-MS) and statistical tools (e.g., JMP, Python, R).
• Experience in DoE and modeling complex systems.
• Strong leadership, communication skills, and interdisciplinary collaboration ability.
• Fluent in English; German skills are a plus.

About Jungbunzlauer: A leading producer of sustainable, natural-based ingredients serving food, nutrition, health, household, and personal care industries. Headquartered in Basel, Switzerland, with large-scale fermentation facilities in Europe and North America, serving over 130 countries. Founded over 150 years ago, with a revenue of 1.3 billion CHF and nearly 1,400 employees committed to a healthier, more sustainable future.