Corsier-sur-Vevey, Vaud, Switzerland
1 day ago
Internship - Building mechanistic model for cationic chromatography step (m/f/d)

 

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Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

 

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

 


Strat date : 01.01.2025

Duration: 6 months

Location: Corsier-sur-Vevey

Role: Internship

 

Business case: 

Pharma4.0 aims at leveraging the digitalization efforts to develop and manufacture medicine at more efficient pace. Digital twins technology is an enabler of reaching digital transformation. Building robust predictive mechanistic/ hybrid/ data models remain the core of digital twin technology. These mechanistic/ hybrid/ data models correlate the effect of process parameters on the quality profile in each bioprocess. Robust process models can aid in reduction of number of experiments and bring medicines faster to patients. This internship will be focused on developing predictive models for downstream drug substance development using mechanistic models.

 

Your Role

The outcome of the internship will be testing the experimental workflow for building predictive mechanistic models for chromatography step.  The experiments will be performed at robotic scale, and gPROMS will be used as a mechanistic modelling software to aid the data analysis. The robustness of the model developed will be analysed and reported during the project. 

 

Your profile:

Master in Chemical engineering, Biotech engineering.Experience working with data / mechanistic models would be ideal, but is not absolutely necessarySoftware: Python/ MATLAB / Gproms/ Dynochem / DoEWet lab experiments experience like cationic chromatography, SEC-HPLCLanguage: English

 

 



What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
 
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