Internship: Hybrid Soft Sensor & Kinetic Modeling

Merck Healthcare; Corsier-sur-Vevey; On-site; CHF 20,000 - 27,000; Full time

Job summary

Merck Healthcare in Switzerland invites students to join a 6-month internship starting 1 January 2027 in Corsier-sur-Vevey. You will develop a hybrid soft sensor using UV-Vis spectroscopy, build kinetic models with gPROMS or Python, and apply Extended Kalman Filter to fuse data and predictions.

The role focuses on modelling, data analysis, and documenting results, with collaboration across PAT and process experts.

Qualifications

• 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

Responsibilities

• Support 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 models and estimate parameters.
• Validate the kinetic model against independent data; combine model with soft sensor data using an Extended Kalman Filter.
• Evaluate model performance, robustness and limitations; identify data gaps and plan experiments.
• Plan and execute experiments in collaboration with PAT, modelling and process experts; ensure traceability of results.
• Develop Python-based tools for data preparation, visualization, and analysis; present results at project reviews and final report.

Skills

Python

Data analysis

Chemometrics

Spectroscopy

Kalman filtering

Process modelling

English fluency

gPROMS

Education

Master's or Engineering student in data science or related field

Tools

gPROMS

Python

Job description

Merck Healthcare in Switzerland invites students to join a 6-month internship starting 1 January 2027 in Corsier-sur-Vevey. You will develop a hybrid soft sensor using UV-Vis spectroscopy, build kinetic models with gPROMS or Python, and apply Extended Kalman Filter to fuse data and predictions.

The role focuses on modelling, data analysis, and documenting results, with collaboration across PAT and process experts.