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Early Careers

Early Careers
Shape the future with us. This is how we Sanofi.

External Manufacturing & Supply Business Data Analyst - VIE Contract

Framingham, Massachusetts
Cambridge, Massachusetts
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At a glance

Early Careers at Sanofi aren’t just about landing a role – they’re about starting a journey that stretches you from day one. You’ll dive into projects that matter, surrounded by people who challenge, mentor, and inspire you to explore more every step of the way.

Here, you can navigate paths across science, digital, manufacturing, and business – following your curiosity, growing your expertise, and building skills for tomorrow. With AI-powered tools, world-class learning, and a culture rooted in collaboration, we give you the opportunity to develop your expertise and transform our future.

External Manufacturing & Supply Business Data Analyst - VIE Contract

  • Location: United States, Framingham
  • Target start date: 01/10/2026

iMove, the Sanofi VIE Program, is available to citizens of the European Economic Area (EU + Norway, Liechtenstein and Iceland) aged between 18 and 28.

PLEASE NOTE that since this program is primarily an international development program, candidates cannot apply to a VIE assignment in their own country of citizenship.

PLEASE NOTE that applications that are only submitted in French cannot be considered by our non-French speaking partners at Sanofi worldwide. Therefore, only applications that are submitted in English will be considered. Please make sure to apply with your personal email address.

About the job

As External Manufacturing & Supply Business Data Analyst VIE within our Digital Data & Technology team you will work with autonomy on defined projects while being mentored and supported by the AI, Data Foundations & Analytics team. You will take ownership of deliverables, contribute to cross-functional discussions, and help drive the External Manufacturing & Supply (EM&S)data strategy forward.


Join a global network that powers how Sanofi delivers — seamlessly, purposefully, and at scale. In Manufacturing & Supply, you’ll help reimagine how life-changing treatments reach people everywhere, faster.

Ready to get started?

About Sanofi

We’re 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 innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main responsibilities:

  • Contribute with autonomy to data analytics projects across the EM&S organization, from scoping through delivery.
  • Take ownership of specific deliverables within larger data science and analytics initiatives.
  • Take ownership of specific deliverables within larger data science and analytics initiatives.
  • Develop and maintain data pipelines, dashboards, and reports with limited supervision.
  • Participate actively in cross-functional meetings and contribute to project discussions.
  • Collaborate with Supply Chain, Quality, Finance, and Digital teams to translate business needs into data solutions.
  • Contribute to the development and maintenance of EM&S databases and reporting environments (Snowflake, Power BI).

About you

Experience:

  • Minimum of one significant internship or equivalent academic project demonstrating end-to-end work on a data science or analytics initiative.
  • Demonstrated ability to contribute to data engineering or analytics projects with some independence.
  • Familiarity with agile working methods and collaborative development environments.
  • Basic understanding of pharmaceutical or manufacturing operations is a plus.

Soft and technical skills:

  • Solid proficiency in Python programming for data engineering and analytics.
  • Good working knowledge of SQL and relational databases.
  • Experience with data visualization tools (Power BI, Dataiku, or similar).
  • Familiarity with cloud platforms, particularly Snowflake and AWS.
  • Experience with GitHub and version control practices.
  • Exposure to machine learning frameworks (scikit-learn, pandas, NumPy) would be a plus.
  • Familiarity with Streamlit or similar application development tools would be a plus.

Education:

  • Master’s degree in Data Science, Computer Science or related field.

Languages:

  • Fluent English (written and verbal).

Why choose us?

  • Be part of a pioneering biopharma company where patient insights shape drug development.
  • Work at the forefront of AI-powered science that accelerates discovery and improves outcomes.
  • Collaborate beyond your expertise, sparking new ideas with diverse, multidisciplinary teams.
  • Shape the future of medicine and vaccine delivery with cutting-edge technology, ensuring seamless launches and a resilient global supply.
  • Power industry-leading performance by leveraging digital, data, and AI-driven innovation – at speed and scale.
  • Transform lives worldwide by delivering life-changing treatments anywhere, anytime.
  • Work with AI, robotics, and next-gen automation to redefine global manufacturing and supply.

iMove is a unique program tailored for European youth interested in challenging themselves with meaningful assignments across the globe. At Sanofi we have a strong ambition to invest in young talents who will drive the success of Sanofi tomorrow.

Sanofi’s Work Abroad Program, iMove, offers jobs-assignments with actual responsibilities and a perspective to grow. We provide those opportunities in various functions such as: marketing, finance, regulatory, supply chain, clinical trials, production, etc. and in more than 40 countries. Sanofi unites people who are passionate about solving healthcare needs across the world. Joining our iMove Work Abroad Program is a unique opportunity to make a difference through your work.

#LI-EUR

Pursue Progress. Discover Extraordinary.

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Watch 'One day at Sanofi' and check out our Diversity Equity and Inclusion initiatives at sanofi.com

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Why work with us

  • Shape your own journey. At Sanofi, diverse perspectives fuel bold thinking – and your path is yours to define. Whether through internships or graduate programs, you’ll explore more and build the future-ready skills that take your potential to the next level.

  • Grow with the best. You’ll learn from experts across science, tech, manufacturing, and business – collaborating as one team on challenging projects that stretch you.

  • Be empowered by innovation. With AI-powered tools, fresh ideas, and the freedom to be curious, you’ll partner with colleagues who turn challenges into breakthroughs – and help reimagine what’s possible.

  • Make an impact from day one. Your work matters. You’ll shape solutions, contribute to an inclusive, sustainable future, and experience what it means to say: This is how we Sanofi.

This is how we Sanofi

Building international networks, empowering career growth, and innovating through smart risks. This is how we innovate. This is how we transform healthcare. This is how we Sanofi.

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"We’re transforming Early Careers at Sanofi — with a clear mission to empower the next generation of healthcare leaders with the skills of tomorrow. Here, you’ll find bold and meaningful experiences that fuel your growth, ignite your potential, and enable you to make an impact from day one."

Andrew Sharp

Global Head of Early Careers

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