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Job Title: Digital Patient Experience Analytics Summer-Fall 2026 Co-op

Location: Cambridge, MA

About the Job
Join the digital engine driving Sanofi’s transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale.

Join our Digital Patient Experience Analytics team and help transform how patients navigate our support programs and digital touchpoints. In this role, you’ll leverage data, SQL, and process mining techniques to understand patient journeys, uncover bottlenecks, and provide insights that improve access to therapy and enhance overall patient experience.

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:

• Analyze large datasets using SQL to answer business questions and support patient journey analytics.

• Support process mining and mapping of patient workflows (e.g., from prescription to treatment start) to identify delays and friction points.

• Build and maintain datasets, reports, and visualizations for key KPIs and funnels.

• Translate stakeholder questions into clear analytical requirements and present insights in a simple, structured way.

• Collaborate with product, operations, and data teams on continuous improvement initiatives.

About You

Basic Qualifications:

• Currently enrolled and pursuing bachelor's or master's degree in business Analytics, Data Science, Information Systems, Computer Science, Data Engineering, Public Health, Healthcare Management, or related field at an accredited college oruniversitywiththe expectation that you will complete yourcurrent degreebytheSpring of 2027

• Must be enrolled in an accreditedcollege or university throughout the duration of the co-op/internship

• Must be able torelocateto the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship

• 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 requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship

• Experience with SQL (joins, aggregations, filters; bonus for window functions)

Preferred Qualifications:

• Experience with data tools such as Excel, Python/R, or BI tools (e.g., Tableau, Power BI, Looker)

• Interests in process mining, diagnostic analytics, workflow analysis, and/ or journey analytics

• Strong problem-solving skills, attention to detail, and ability to communicate findings clearly to non-technical audiences

• Curiosity about healthcare, digital health, or patient support programs

Why Choose Us?

• Make a real impact on patients access to therapy and improve healthcare experiences.

• Work on cutting-edge analytics in a growing digital health space.

• Collaborate with cross-functional teams and gain exposure to product, operations, and data strategy.

• Learn process mining and journey analytics - skills that are in high demand.

• Be part of a mission-driven organization focused on improving lives through better patient support.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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