Data and AI Computational Scientist Catalyst

Position Title: Data and AI Computational Scientist Catalyst

Department: Scaled Data Science Models

Location: Toronto, ON

About the Job

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams. 

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.

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 have participated in the Sanofi Digital Co-Op program at some point during 2024 or 2025 and be eligible for a May/June 2026 start date. 

• Must be legally authorized to work for Sanofi in Canada. 

• A master's degree or higher in a STEM field preferred, with foundational business knowledge.  

• 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.). 

• Passion for life sciences and global healthcare.

• Academic or personal project experience with data tools and programming (e.g., Python, SQL).

• Experience with machine learning and/or generative AI - coursework, research projects, or internships.

• Understanding of data structures, algorithms, and basic cloud concepts.

• 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.

How to apply:

Complete your electronic application, including the following attachments:

• Cover letter (optional)

• Resume

• Most recent unofficial transcripts from all degrees

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

This position is for a new vacant role that we are actively hiring for.​

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.

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.