Process Data Scientist

Your responsibilities:

Model Development

- Design and build MVDA models for Drug Substance manufacturing processes.

- Responsible for the end-to-end technical creation of the model structure.

Data Pre-processing & Curation

- Apply rigorous data modeling techniques.

- Ensuring that raw process data is correctly pre-processed to prevent false positive/false negative results.

Validation & Maintenance

- Execute formal validation protocols to demonstrate model suitability.

- Responsible for maintaining the lifecycle of these models, ensuring they remain accurate over time as process baselines evolve.

Your background:

• Ideally a PhD in Chemical Engineering, Chemometrics, Statistics, or Biotechnology. Alternatively a Bachelor or Master’s degree combined with relevant work experience
• Min. 2 years experience in statistics
• First professional/industry experiences
• Min. B2/C1 level in English and German