We, at
Sanofi, are there beside people in need, as a health journey partner
- +100,000 employees, representing 142 nationalities
- 90 countries where Sanofi is present, providing healthcare solutions in 170 countries
- 69 manufacturing sites in 32 countries
- 21 Research and Development sites comprising medicines, clinical research and vaccines
The Analytical function within global Manufacturing Sciences, Analytics and Technology (MSAT) is responsible for method development and supports method validation, all part of the Analytical Life Cycle Management (ALCM), within Sanofi Biologics network. We deliver innovative, robust, and cost-effective next-generation analytical methods. We support the commercial manufacturing and Quality Control departments through testing support, in-depth investigations, characterization testing, and comparability assessments. The function is responsible for analytical technology transfer activities.
Our expansive portfolio covers 17 products, 5 modalities, and 3 expression systems within 12 internal and external global sites in the US and EU. We will be supporting the launch of 20 new products in the next 5 years including monoclonal and multi-specific antibodies, fusion proteins, antibody-drug conjugate, synthorins, and nanobodies. In recent years we have successfully established second-generation manufacturing processes with a continuous process platform. We are pursuing future innovations such as digital labs, factory of future and advanced analytics-based process understanding and control.
In the Analytical MSAT function, we have opportunities for an MSAT Scientist who will have the following main responsibilities:
- Support designing/developing/improving/validating existing analytical methods in function of existing or new production processes
- Independently set-up experiments and develop and carry out studies in Cell & Biochemistry-oriented teams
- Provide documentation through generation of scientific/technical study protocols and reports
- Maintain, adjust, and communicate documentation and knowledge.
- Data trending and monitoring of ongoing methods, experiments, and analyses to ensure reliability, as well as have an accurate understanding of the effectiveness and efficiency of the methods