Healthcare Analytics Intern: ML Modeling & Insights

Sanofi; Cambridge (MA); On-site; USD 50,000 - 65,000; Full time

Job summary

Sanofi invites highly motivated students to join the US Advanced Analytics team as a Summer Intern in Cambridge, MA or Morristown, NJ. You’ll leverage data science to build models, visualize insights, and communicate results to leadership for business decisions by summer’s end.

The role emphasizes mentoring, cross-functional collaboration, and exposure to marketing and sales analytics, with responsibilities spanning predictive modelling and actionable analytics in a healthcare context.

Qualifications

• Pursuing an undergraduate or masters’ degree in applied quantitative field, with graduation planned by Spring 2028 or 2029.
• Must be permanently authorized to work in the U.S. without visa sponsorship.
• Enrolled in an accredited college or university for the duration of the internship.
• Must relocate to Cambridge, MA or Morristown, NJ and work 40 hours per week for the full duration.

Responsibilities

• Build effective relationships with stakeholders across Commercial and Advanced Analytics teams.
• Develop a proof-of-concept model for a prioritized business use case.
• Create innovative data visualizations and interpret model outputs for leadership.
• Present results and implications to drive business decisions at internship end.

Skills

Predictive modelling

Analytics

Data storytelling

Education

Undergraduate or Master's in applied quantitative field (math, statistics, computer science)

Tools

Python

R

Scala

Snowflake

SQL

NoSQL

Job description

Sanofi invites highly motivated students to join the US Advanced Analytics team as a Summer Intern in Cambridge, MA or Morristown, NJ. You’ll leverage data science to build models, visualize insights, and communicate results to leadership for business decisions by summer’s end.

The role emphasizes mentoring, cross-functional collaboration, and exposure to marketing and sales analytics, with responsibilities spanning predictive modelling and actionable analytics in a healthcare context.