Internship/master Thesis
vor 7 Monaten
Be part of something altogether life-changing Working at Cytiva in the Life Sciences industry means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies. At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. With associates across 40 countries, Cytiva is a place where every day is a learning opportunity - so you can grow your career and expand your skills in the long term. Cytiva is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.
What you’ll do
- Performing research in the field of model-based bioprocess development
- Develop standardized model calibration strategies for AAV and mAb bind/elute purification processes
- Evaluate process risks and scaling strategies
- Work on case studies for different modes of chromatographic separation and various molecule formats
Who you are
- Master thesis student in biotechnology, bioprocess/biomedical engineering or related sciences
- In depth knowledge in laboratory downstream process development, chromatography, resins and protein analytics
- A solid experience and understanding of mathematic models and physical/chemical fundamentals
- Proficient in English (oral and writing)
It would be a plus if you also possess previous experience in:
- Mechanistic modeling of chromatography or related separation technologies
At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
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