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Sanofi

Data and AI Engineer, Digital R&D, Data & AI Products and Platforms (Catalyst)

Posted 4 Days Ago
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Toronto, ON
Internship
Toronto, ON
Internship
The Data and AI Engineer will work on data and ML engineering solutions, focusing on data management, cloud platforms, and MLOps. Responsibilities include designing ETL pipelines, optimizing performance, and collaborating with teams to meet business needs. This role offers opportunities in a 2-year development program with exposure to various pharmaceutical business domains.
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R2784153 Data and AI Engineer, Digital R&D, Data & AI Products and Platforms (Catalyst)

Department: Head of Biologics AI Platform

Location: Toronto, Ontario, Hybrid

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.

Data and AI Engineer, Digital R&D, Data & AI Products and Platforms in our Corporate Functions, Digital Data Hub, the role includes translating business strategy into digital, technology, AI and ways of working strategies, driving the business forward. As a Data and ML Engineer within the Data and AI Future Catalyst Program 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. You’ll join as one of four role types in the Sanofi Data and AI Future Catalyst Program - a 2-year program that will provide you with an unparalleled opportunity to try different projects and learn about our different pharmaceutical business domains.

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

  • Experience: Preferable have prior experience as a data engineer through co-op or internship programs

  • Soft and technical skills:

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

    • 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).

    • Experience with any or all of: data storytelling, strategy planning, project management, agile ways of working, business analysis, data analysis, data visualization, executive reports.  

    • Strong oral and written communication skills, with the ability to tell a meaningful and persuasive story through reporting.  

    • Strong critical thinker with decision-making and judgement skills.  

    • Demonstrated leadership potential (e.g. through Student Organizations, previous jobs, etc.) and passion for life sciences and global healthcare.

  • Education: Bachelor’s or a Master’s Degree and PhD students in Computer Science, Engineering or another relevant quantitative field who have graduated from their latest degree within the last 24 months. Minimum GPA 3.0/grade B is preferred.

Why Choose Us?

  • AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, 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.

Pursue Progress. Discover Extraordinary.

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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s 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, or gender identity.
 

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

This is an ADDITTION

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants.  Accommodations for persons with disabilities required during the recruitment process are available upon request.

#GD-SP ​
#LI-SP                    

#LI-Hybrid

#DBBCA

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.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Top Skills

Python
R
Spark

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