This project aims to optimize research on mRNA vaccines by standardizing the process between teams in France and the United States. It integrates the transition from a manual process to a robotic platform, thus guaranteeing an automated and repeatable flow for the early detection of candidates.
2021 - Ongoing
France
Health and life science
Research on mRNA vaccines is crucial to rapidly identify viable candidates at the initial stage of development. SANOFI, in collaboration with its international teams, must harmonize methods in order to meet the requirements of an intensive screening process. The project is based on the definition of user needs, with the drafting of detailed specifications (URS) to adapt existing manual processes to robotic requirements.
The design of a customized platform makes it possible to ensure the installation and integration of automation solutions, while rigorously managing the risks associated with new machines. Consistently, mechanical, liquid tests, and biological evaluations ensure that the automated workflow — from cell seeding to selecting optimal mRNAs — is reproducible and consistent across different sites, facilitating large-scale data generation and ongoing work.
The customer wants to standardize and automate the process of screening mRNA candidates to accelerate vaccine development. A solution should make it possible to smooth the transition between the teams in France and the United States, guarantee tests and optimize data production. The challenge is to obtain an integrated platform that promotes operational efficiency, better international collaboration and repeatable results, while securing the transfer of technical knowledge.
Harmonize the screening process between international teams.
Automate testing and data production for greater efficiency.
Guarantee a smooth transition from manual to robotic.
The mission focuses on transforming the research process by automating the entire workflow. It consists in precisely defining user needs, adapting procedures for robotic integration, and supervising factory acceptance tests (FAT). The objective is to ensure a harmonious sequence of steps, to optimize the performances of the devices and to create a coherent and reproducible method for the selection of mRNA candidates.
Define and write a URS adapted to the digital transformation of the process.
Design and install a custom robotic platform.
Automate the workflow for optimized production and selection.
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