CA$86,900 – CA$137KSeniorFull Time
Position Title: Computational Scientist Catalyst
Department: Scaled Data Science Models
Location: Toronto, ON
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.
We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people's lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.
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.
Sanofi has embarked on a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of data adoption with artificial intelligence (AI) and machine learning (ML) tools. We strive to use AI and ML across the organization to accelerate functions like R&D, medical, manufacturing, and commercial performance. Our objective is to complement our business partners with AI to provide life-improving and lifesaving drugs and vaccines to patients faster and more effectively.
About the Program
You'll join the Sanofi Data and AI Future Catalyst Program as a Computational Science Catalyst - a 2-year rotational program that will provide you with an unparalleled opportunity to contribute to different products and learn around several aspects of our 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.
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, USA, India and beyond. You'll be engaged in a structured program that's focused on driving the growth of your technical knowledge and business acumen in computational science.
You'll work with multi-faceted teams operating in cross-functional pods as part of our AI Factory approach - bringing together data management, AI, and product development skills to create an agile, fulfilling and meaningful work environment. As part of catalyst, you will have the opportunity to bring your skills into different products within Digital R&D and/or Real-World Data.
About the Role
As a Computational Science Catalyst, you will adopt and extend advancements in the field of machine learning and generative AI to analyze and interpret data from pre-clinical, clinical and real world datasets in the healthcare and pharmaceutical industry. You will inform and accelerate the clinical research process, optimize R&D strategies, and ultimately improve patient outcomes.
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:
Prepare and curate data from sources such as EHRs, clinical trials, preclinical research, medical imaging, digital pathology, registries, or real-world datasets.
Build and evaluate ML/GenAI models to predict outcomes, identify risk factors, simulate scenarios, or support decision-making across R&D and clinical development.
Develop end-to-end analytics workflows – from exploratory analysis to experiment design to delivering production-ready models with guidance from senior scientists and engineers.
Support software development for data processing, model training, and visualization by writing clean, well-structured, and well-tested code.
Create clear narratives through data storytelling, and visualizations to communicate insights to technical and non-technical stakeholders.
Collaborate across multidisciplinary teams (engineering, product, R&D) to translate business questions into computational approaches.
Stay current with new methods in machine learning, generative AI, and computational science; share learnings with the broader team.
Document and communicate results, and occasionally contribute to internal technical reports, internal/external presentations, or open-source examples and draft publications.
About You
Eligibility Requirements:
Must be legally authorized to work for Sanofi in Canada.
Graduate degree (Master’s or PhD) in a quantitative discipline (e.g., computer science, engineering, mathematics, physics, statistics, computational biology, bioinformatics, economics).
Strong programming experience in Python (preferred), R, or a similar scientific programming language.
Experience with machine learning and/or generative AI - coursework, research projects, or internships.
Familiarity with common data workflows: cleaning, preprocessing, exploratory analysis, and model evaluation.
Exposure to genomics, digital pathology, medical imaging and healthcare-related data (EHR, clinical, or real-world datasets) is a plus but not required.
Basic familiarity with databases (SQL or NoSQL).
Strong written and verbal communication skills, including the ability to explain insights clearly.
Demonstrated ability to work in teams and contribute to collaborative projects.
Curiosity, problem-solving mindset, and enthusiasm for applying AI to life sciences and global health.
Preferred Qualifications:
Exposure to topics such as: supervised/unsupervised learning, deep learning, sequence models, GenAI/foundation models, graph ML, causal inference, optimization, or time-series forecasting.
Experience building small applications or tools (e.g., pythonic libraries, dashboards, Streamlit apps, simple APIs).
Familiarity with software development practices (version control, testing, agile teamwork).
Interest in scaling ML systems using cloud platforms or modern data/ML tooling.
Experience with data visualization tools or ML-Ops concepts is a bonus.
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
Applications received after the official close date will be reviewed on an individual basis.
This position is for a new vacant role that is now open for applications.
AI Usage
"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance
with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal, Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.
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.
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!
North America Applicants Only
The salary range for this position is:
86,900.00 - 136,900.00 (Includes target bonus)Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.
La fourchette salariale pour ce poste est la suivante:
86,900.00 - 136,900.00 (Comprend le bonus cible)La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien
