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Winter, Spring 2026 Co-op-Intern– Data Science and Digital Transformation

Min Experience

0 years

Location

Framingham, Massachusetts

JobType

internship

About the job

Info This job is sourced from a job board

About the role

We deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams. With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?​ Department Description: MSAT Process Data Science & Digital Transformation (MSAT DSD) is a transversal team within the Global MSAT organization. MSAT DSD is the data/digital DNA within the processes allowing us to ensure best in class manufacturing & analytical processes, especially by focusing on data/digital innovations & excellence, aiming to guarantee acceleration and securing launches & improvement as well as sustainability for our current processes. The Co-op position is in DSD Mechanistic Modeling & Process Control group. The group develops and implements advanced process modeling and technologies (e.g. Digital twins, PAT) to enable Sanofi to better understand, monitor, and control the manufacturing operations, and deliver innovative, robust, and cost-effective next-generation processes. The group is highly cross functional in its interactions across R&D and manufacturing, and provides scientific, technical, process engineering expertise to these organizations Main Responsibilities: The successful candidate will support the development and implementation of process modeling and new technologies (focusing on modeling bioreactor and cell culture processes) for improved process tech transfer/scale-up, monitoring and control strategies: · Modify existing simulations to adapt to process changes and better understand the cell culture process · Use simulations and process data to identify atypical results · Test capabilities of simulation platform and user interface for application to a new use case · Work as part of a team, engaging with other scientists and engineers with complementary skill sets · Generate documents (presentations, user guides, reports) related to learnings and achievements

About the company

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible.

Skills

python
data analysis
modeling
bioreactor
cell culture