What are the responsibilities and job description for the Fall 2025 Co-op - Process and CMC Data Science- Vaccines position at Karkidi?
We are an innovative global healthcare company that helps the world stay ahead of infectious diseases by delivering more than 500 million vaccine doses a year. Across different countries, our talented teams are exploring new technologies to protect people and promote healthy communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
The Co-op position is based in the Data and Computational Science (DCS) department within the Sanofi mRNA Center of Excellence (mRNA CoE), supporting activities in the CMC data science group. This position will focus on developing first principle and machine learning (ML) models for different units, such as Tangential Flow Filtration (TFF) in drug product process development. The candidate will have opportunities to learn about mRNA technology and unit operations, and to demonstrate the benefits of first principle and ML modeling in a non-GMP lab environment.
Main Responsibilities :
- The successful candidate will work with their supervisor to develop ML models for different unit operations.
- Activities include investigating how process parameters influence product quality attributes and uncertainty quantification, designing model-based DoE for model structure selection, and parameter optimization.
About You
Basic Qualifications :
Preferred Qualifications :
Why Choose Us?
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
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