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Job Title:2027 Summer Intern US Advanced Analytics

• Grade:Intern
• Location:Cambridge, MA
• Duration:10-12 weeks

About the Job

Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. We are seeking a highly motivated Summer Intern to join our US Advanced Analytics team.

You will be responsible for leveraging data science expertise in machine learning, statistics, and optimization. This person will join the US Advanced Analytics team within the overarching US Go to Market Capabilities (GTMC) Insights and Analytics team, which serves as strategic partner to the US commercial teams (Executive Leadership, Marketing, Sales, and Patient Support Services). Key responsibilities of this internship will include developing a proof-of-concept model for a prioritized business use case. Furthermore, this role will be responsible for creating innovative data visualizations and interpreting model outputs to communicate findings to leadership to drive business decisions at the conclusion of the summer internship. This position will report to the Senior Director, US Advanced Analytics and will be based in either Cambridge, MA or Morristown, NJ.

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

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

• Build effective relationship with stakeholders (Commercial and Commercial Brand + Advanced Analytics teams), work collaboratively to prioritize work and deliver on time-sensitive requests.
• Interact/partner with Digital Accelerator, Digital Data Science, Data Management, Market Research, Marketing, Strategy, Finance and BD groups.
• Collaborate with extended US Advanced Analytics team
• Develop model using key business insights from various market to support commercial excellence.
• Lead marketing and sales-related problem-solving activities, leveraging AI/ML techniques. Projects may include marketing mix modeling, ROI analysis, next best action, customer segmentation, patient prediction, and drivers analyses.
• Prepare high-quality, accurate analysis using cutting-edge analytical methods.
• Strategic thinking – frame the key marketing and sales issues to guide model development and analysis.
• Communication – present model results and implications to commercial stakeholders.
• Results Orientation - Ability to work cross-functionally, gather requirements, analyze data, and generate insights and reports that can be used by the business.

About you

 Basic Qualifications:

• Currently pursuing an undergraduate or masters’ degree in applied quantitative field, such as mathematics, statistics, computer science with plans to graduate by Spring 2028 or 2029.
• Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
• Must be enrolled in an accredited college or university throughout the duration of the co-op/internship. 
• Must be able to relocate to the office location and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship.

Preferred Qualifications:

• Experience/coursework in predictive modelling and analytics
• Strong analytical acumen and quantitative skills with a demonstrated ability to translate information and data into actionable insights and strategic recommendations.
• High proficiency with core data science languages (Python, R, Scala), Snowflake, and familiarity with different data-base systems (e.g. SQL, NoSQL)
• Experience with the following modelling areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization
• High proficiency in MS Office (Excel, PowerPoint, Word)
• Self-starter, proactive in nature, and actively participates.
• Ability to synthesize complex information into clear and actionable insights.

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 that keep you ahead of the curve.​​

Compensation

The salary range for this position is $36 - 47 USD hourly. All compensation will be determined commensurate with demonstrated experience.

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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.