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is Hiring Spring Co-op Data Science in Framingham, MA

SanofiFramingham, MA

  • $35 – $57 / hour
  • Internship
  • Full time

Overview

About the Job

Looking to launch your career at the cutting edge of healthcare? Sanofi offers a chance to develop with mentoring and guidance from inspiring leaders while helping make an impact on the lives of countless people worldwide. We are looking for a highly motivated Spring Co-op to join our Data Science & Digital Transformation team.

MSAT Process Data Science & Digital Transformation (MSAT DSD) is a transversal team within the Global MSAT organization. MSAT DSD is the data and digital core of the processes that keep our manufacturing and analytical operations best in class. The team focuses on data and digital innovation and excellence to support acceleration, successful launches, and sustainability of current processes.

The Co-op position sits in the DSD Process Modeling & Control group. The group develops and implements advanced process modeling and technologies (such as digital twins and PAT) to help Sanofi better understand, monitor, and control manufacturing operations, and to deliver innovative, robust, and cost-effective next-generation processes. The group works closely across R&D and manufacturing and provides scientific, technical, and process engineering expertise to both.

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you will be empowered to learn, ask questions, and bring your ideas to life, supported by inspiring mentors and collaborative teams.

About Sanofi

Sanofi is an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system and our innovative pipeline let us invent medicines and vaccines that treat and protect millions of people around the world.

Main Responsibilities

  • Contribute to the evaluation and development of hybrid modeling techniques to improve understanding of cell culture processes
  • Use simulations and process data to identify atypical results
  • Test capabilities of the simulation platform and user interface for a new use case
  • Work as part of a team, engaging with scientists and engineers with complementary skill sets
  • Generate documents (presentations, user guides, reports) covering learnings and achievements

Why Choose Us

  • Bring the miracles of science to life alongside a supportive, future-focused team
  • Stretch your skills through apprenticeships, internships, graduate programs, and international experiences that grow with you
  • Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare
  • Build your future with access to the latest tools, digital innovation, and continuous learning

Skills mentioned

  • Python
  • Machine Learning
  • Simulation
  • Process Modeling
  • Digital Twins

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