Catalyst Program, Data and AI - Data and ML Engineers
Reference No. R2713541
Position Title: Catalyst Program, Data and AI - Data and ML Engineers
Department: Commercial Americas & RoW
Location: Hybrid working model combining remote and office-based work.
We are located in the greater downtown area of Toronto, Ontario Canada.
Application Deadline: The deadline to apply is September 27th at 11:59 EST.
At Sanofi, we chase the miracles of science to improve people’s lives. We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into possible for millions of people.
As one of Canada’s leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs. Our life-changing and lifesaving products are grounded in science that Canadians can trust. They empower self-care, prevent and treat diseases, and help people live better.
Our vision for digital, data analytics and AI
Sanofi has embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions. This has enabled us, to accelerate R&D, improve manufacturing and commercial performance, and bring novel drugs and vaccines to patients faster, all in order to improve health and save lives.
The Digital Team at Sanofi is a unique data-driven team. We pride ourselves on being data obsessed and highly focused on using state of the art processes along with global technologies to drive impact to our solutions. We measure our insights 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 Data 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 through becoming an AI first organization.
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.
Who You Are:
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. This opportunity will allow for personal and professional growth, as no two experiences will be alike and you’ll have the opportunity to carve your own path. 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 Global AI Centre of Excellence in Toronto, you will be working on a team that is globally diverse, with members here in Toronto as well as across our global hubs in France, Spain 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 five core data and AI functions to deliver on meaningful strategic initiatives - whether that be in data science, data and business analysis, data and ML engineering, software engineering, or data and AI strategy. 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 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.
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.
Undergraduate degree in computer science, engineering or another relevant quantitative field. Master’s degree is considered an asset.
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).
Demonstrated leadership potential (e.g. through Student Organizations, previous jobs, etc.).
Passion for life sciences and global healthcare.
We are interested in meeting Undergraduate, Masters and PhD students who have graduated from their latest degree within the last 24 months. Minimum GPA 3.0/grade B is preferred.
How to apply:
Complete your electronic application, including the following attachments:
Most recent unofficial transcript from all degrees.
IMPORTANT! Please select:
Source = “University Recruiting”
School = Select your current University from the options available
Click “Apply” and follow steps to apply online
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.
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.
Thank you in advance for your interest.
Only those candidates selected for interviews will be contacted.
At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.