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Data and AI Engineer - Summer 2025 Intern

Cambridge, Massachusetts Internship Posté le   Mar. 07, 2025 Expire le   Apr. 30, 2025
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Job Title: Data and AI Engineer - Summer 2025 Intern

Location: Cambridge, MA


About the Job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

Our vision for Digital and AI

Sanofi has embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of major digital initiatives including a focus on value creation and realization through projects, products and programs, while continuing to leverage AI at scale. To support our ambition in the digital space, we support the Digital departments and the business in enhancing existing operations and supporting innovation, becoming a best-in-class tech biopharma.

The Digital Team at Sanofi is a unique data-driven, people-centered team. We pride ourselves on being priority obsessed and highly focused on using state of the art processes along with global technologies to drive impact to our solutions. We measure our impacts and products based on how they perform across the globe and hold ourselves to the highest regard as our solutions can impact millions of lives. When tackling a problem, we do not just ask how we will create a solution, but how we will create a solution that reaches across the world with the best possible societal outcome.

If you are passionate about improving the health and wellness of people across the globe using Digital capabilities as your means, then you should look no farther than the Digital Team here at Sanofi. Join us on our journey in enabling Sanofi’s Digital Transformation in becoming a one-of-a-kind tech biopharma. We do this by leveraging:

  • AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data engineering, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

  • Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

  • World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.

Who You Are:

You’ll work with multi-faceted teams to design and build AI products, create cutting-edge, scalable platforms, and enable Sanofi to make the best value of data, transforming people’s lives in 90+ countries around the global. Whatever projects you’re working on, you’ll learn from world-class leaders who come from industry and academia backgrounds, pushing you to stretch your goals and achieve your best.

As a member of Sanofi’s Data Products team, you will be working on a team that is globally diverse, with members here in Toronto as well as across our Digital global hubs in France, Spain, India, Hungary, and USA. You’ll be engaged in a structured program that’s focused on driving the growth of your technical knowledge and business acumen. Based on your skills and background, you’ll be aligned to one of Sanofi’s core Digital functions to deliver on meaningful strategic initiatives - whether that be in data science, data and business analysis, data and ML engineering, software engineering, data strategy, or digital strategy and operations. This approach ensures that you specialize in your area of interest, while being engaged as part of a larger cohort of colleagues to collectively build core skills in strategic problem solving, product design, agile ways of working, and leadership. Upon completion of the two years, you’ll be provided the opportunity to a preferred position, responding to Sanofi’s business needs.

Data and ML Engineer – As a data and ML engineer within the R&D Data Platforms and Products team you’ll have the opportunity to work on projects focused on Data and Cloud Platform Engineering, MLOps, as well as big data, and database management.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

  • Gather and organize large, complex data assets, performing transformations and relevant analysis to meet required business needs using both scripting and GUI based software.

  • Develop and maintain data / ML engineering solutions based on requirements and design specifications using appropriate tools and technologies.

  • Create and test data pipelines / ETL pipelines and optimize performance

  • Create design and development documentation based on standards for knowledge transfer, training, and maintenance.

  • Ensure the quality and proper management of data assets across the data lifecycle.

  • Create data models and optimize queries performance, leveraging existing or create new “standard data pipelines” within Sanofi to bring value through business use cases.

  • Work with business and products teams to understand requirements, and translate them into technical needs.

  • Develop automated tests for CI/CD pipelines.

  • Work with cutting edge tech stack on a cloud first environment, working with both proprietary and open-source technologies.

  • Design AI/ML apps and implement automated model and pipeline monitoring, adaption and validation working closely with data scientists and other engineers.

About You

**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**


Basic Qualifications

  • Currently pursuing a bachelors or master's degree in computer science, engineering or another relevant quantitative fieldat an accredited college or universitywith the expectation that you will complete yourcurrent degreeby the Spring of 2027

  • Must be enrolled in school the semester following your internship/co-op with Sanofi

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

  • Must have permanent US work authorization

  • Experience with data structures, algorithms, computational methods and cloud computing.

Preferred Qualifications:

  • Ability to work across the full stack and move fluidly between programming languages and data platform / MLOps technologies (e.g.: Python, Spark, R, Github, MLFlow, Airflow, Snowflake, AWS).

  • Demonstrated leadership potential (e.g. through Student Organizations, previous jobs, etc.).

  • Passion for life sciences and global healthcare.

Why Choose Us?

  • Bring the miracles of science to life alongside a supportive, future-focused team.

  • Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

  • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

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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