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

Sanofi; Toronto; Hybrid; CAD 60,000 - 100,000; Full time

Job summary

An innovative global healthcare company is seeking a Data and AI Engineer to join their Digital R&D team. This role offers a unique opportunity to work on cutting-edge projects in data and cloud platform engineering, MLOps, and big data management. As part of the Data and AI Future Catalyst Program, you'll gain invaluable experience while collaborating with industry leaders and contributing to impactful healthcare solutions. The environment fosters growth, mentorship, and the chance to explore various pharmaceutical domains, making it an exciting opportunity for those passionate about technology and healthcare.

Benefits

World Class Mentorship

Leading Edge Tech Stack

Opportunities for Growth

Agile Work Environment

Qualifications

• Experience as a data engineer through co-op or internship programs is preferred.
• Bachelor's or Master's Degree in Computer Science, Engineering or relevant field.

Responsibilities

• Gather and organize large data assets, performing transformations and analysis.
• Develop and maintain data/ML engineering solutions based on requirements.

Skills

Data Structures

Algorithms

Computational Methods

Cloud Computing

Data Storytelling

Project Management

Data Visualization

Critical Thinking

Communication Skills

Education

Bachelor’s Degree in Computer Science

Master’s Degree in Engineering

PhD in a Relevant Field

Tools

Python

Spark

R

GitHub

MLFlow

Airflow

Snowflake

AWS

Job description

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:

1. Gather and organize large, complex data assets, performing transformations and relevant analysis to meet required business needs using both scripting and GUI based software.
2. Develop and maintain data / ML engineering solutions based on requirements and design specifications using appropriate tools and technologies.
3. Create and test data pipelines / ETL pipelines and optimize performance.
4. Create design and development documentation based on standards for knowledge transfer, training, and maintenance.
5. Ensure the quality and proper management of data assets across the data lifecycle.
6. Create data models and optimize queries performance, leveraging existing or create new “standard data pipelines” within Sanofi to bring value through business use cases.
7. Work with business and products teams to understand requirements, and translate them into technical needs.
8. Develop automated tests for CI/CD pipelines.
9. Work with cutting edge tech stack on a cloud first environment, working with both proprietary and open-source technologies.
10. Design AI/ML apps and implement automated model and pipeline monitoring, adaption and validation working closely with data scientists and other engineers.

About You

1. Experience: Preferable have prior experience as a data engineer through co-op or internship programs.
2. Soft and technical skills:
1. Experience with data structures, algorithms, computational methods and cloud computing.
2. 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).
3. Experience with any or all of: data storytelling, strategy planning, project management, agile ways of working, business analysis, data analysis, data visualization, executive reports.
4. Strong oral and written communication skills, with the ability to tell a meaningful and persuasive story through reporting.
5. Strong critical thinker with decision-making and judgement skills.
6. Demonstrated leadership potential (e.g. through Student Organizations, previous jobs, etc.) and passion for life sciences and global healthcare.
3. 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?

1. 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.
2. Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.
3. 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!