Job Title: 2027 Spring Co-op Scientific Data Support Analyst - mRNA Center of Excellence - Vaccines

• Grade: Co-op

• Location: Waltham, MA

• Duration: 6 months

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 Spring Co-op to join our Scientific Data Support Analyst - mRNA Center of Excellence - Vaccines team.

Join our mission to harness the power of mRNA technology to transform medicine. At Sanofi, we are dedicated to advancing health technology and are seeking enthusiastic, ambitious students to contribute to our dynamic team. Explore the cutting edge of health innovation and be part of a €400m annual investment aimed at developing next-generation vaccines and treatments.

The Co-op - Scientific Data Support Analyst will work within the CMC Process Development & Industrialization (PD&I) department, supporting the alignment of data sets and enhancing the efficiency of digital tools used by our scientists. This role is crucial for facilitating effective data management practices and promoting the use of digital resources across our research platforms.

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

• Assist in the review and analysis of current data practices within lab-based departments, identifying areas for improvement.

• Support the development and implementation of data pipelines to ensure seamless integration of diverse data sources.

• Develop and improve dashboards and visualizations to enhance data interpretation and decision-making processes.

• Utilize digital tools and data analytics to support R&D initiatives and streamline workflows.

• Work on lab equipment connectivity and ensure seamless integration between Operational Technology (OT) and Information Technology (IT) systems.

• Collaborate with senior Scientific Data Transformation Leaders to enhance data quality, accessibility, and integrity according to Findability, Accessibility, Interoperability, and Reusability (FAIR) principles.

About You

Basic Qualifications:

• Currently pursuing a bachelor's or master's degree in Life Sciences, Engineering, Biotechnology, Chemistry, Computer Science, or related fields with plans to graduate by Spring 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:

• A strong interest in data management, biopharmaceutical R&D, and digital transformation strategies.

• Basic understanding of FAIR data principles and data standardization processes.

• Develop data pipelines, dashboards, and visualization solutions to make experimental data accessible and actionable for scientific decision-making.

• Excellent analytical and problem-solving skills.

• Effective communication skills with fluency in English; French is advantageous.

• Nice to have: Programming (Python, R, SQL), visualization tools (Power BI, Tableau), data analysis, communication skills, problem-solving.

• Ability to work collaboratively in a diverse, multinational team environment.

• Having a personal vehicle is preferred as commuting in the area is not recommended.

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 $27.00 - $47.00 hourly. All compensation will be determined commensurate with demonstrated experience.

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Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

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US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive 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.