Merck, Internship - ADC modeling
- Azienda
- Merck
- Sede
- Corsier-sur-Vevey, Svizzera
- Durata
- 6 mesi. Inizio 1 gennaio 2027
- Indennità
- Retribuito + benefit
- Area professionale
-
Chimica/Farmaceutica Statistica/Data Analysis
Attività
- Support the development and evaluation of the UV-Vis-based soft sensor, including data preprocessing and chemometric data treatment.
- Develop kinetic reaction models using gPROMS and/or Python to describe the evolution of the conjugation species.Compare different kinetic model structures, estimate kinetic parameters, and assess the predictive performance.
- Validate the kinetic model against independent experimental or offline analytical data where available.Combine kinetic model with the soft sensor data using an Extended Kalman Filter.
- Evaluate the ability of the hybrid model to update the estimated reaction state and predict the reaction progress.Identify data gaps and, if required, design and perform additional small-scale conjugation experiments.
- Analyze model performance, robustness and limitations.
- Plan and execute experiments in collaboration with PAT, modelling and process experts.Ensure that experimental conditions and results are accurately recorded and traceable.
- Develop Python-based tools for data preparation, visualization, and analysis.Present your results during project reviews and prepare a final technical report.
Requisiti principali
- Currently in master’s or Engineering student in data science, analytical chemistry, biochemistry, biotechnology, chemical engineering or a related field.
- Strong interest in reaction kinetics, mechanistic modelling, dynamic systems, and data science.
- Experience with python and gPROMS or another process modelling tool is a strong plus.
- Interest in spectroscopy and chemometrics; knowledge of UV-Vis or PLS is an advantage.
- Practical laboratory experience and strong attention to data quality and reproducibility.
- Knowledge of Kalman filtering is a plus.
- Curious, rigorous, proactive, and able to work independently as well as in a
- multidisciplinary team.
- Fluent in English
