Position title: Senior Scientist - Agentic AI Systems - Vaccines

Department: Computational Science

Location: Toronto, ON

About the job

Join Sanofi’s Digital R&D as a Senior Scientist, where you will design, develop, and deploy cutting-edge autonomous AI agents to transform drug discovery, clinical research, and biomedical data analysis. In this role, you will work at the forefront of artificial intelligence and life sciences, translating complex scientific and clinical challenges into scalable agentic AI solutions. You will collaborate closely with AI engineers, data scientists, and R&D stakeholders to build intelligent systems that reason, plan, and act autonomously accelerating scientific discovery and improving patient outcomes.

This position offers a unique opportunity to contribute deep technical innovation in agentic AI while working on high-impact pharmaceutical applications that support Sanofi’s mission to chase the miracles of science.

Main Responsibilities:

• Design and implement state-of-the-art agentic AI systems for drug discovery, clinical development, and R&D operations

• Develop multi-agent architectures incorporating perception, memory, planning, reasoning, and tool-use modules

• Build and evaluate autonomous AI workflows for scientific data analysis, hypothesis generation, and decision support

• Translate real-world biomedical and clinical research problems into AI-driven solutions in partnership with R&D scientists

• Conduct research on novel agentic AI algorithms, architectures, and evaluation frameworks

• Implement scalable, production-ready AI pipelines with robust monitoring, logging, and governance

• Ensure AI systems comply with regulatory, quality, and responsible AI principles in pharmaceutical environments

• Contribute to scientific publications, patents, and internal technical knowledge sharing

• Collaborate with cross-functional teams including digital product owners, clinical scientists, and platform engineers

• Mentor junior scientists and contribute to a culture of scientific excellence and continuous learning

About You

Required Qualifications:

• Ph.D. or M.S. in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, Computational Biology, or related field

• 1+ years of experience building AI/ML models and systems in research or production environments

• Deep expertise in large language models, transformers, and modern deep learning architectures

• Strong Python programming skills and experience with ML frameworks (PyTorch, TensorFlow, JAX)

• Hands-on experience with agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar)

• Experience designing agentic components such as memory systems, planning engines, reasoning modules, and tool-calling pipelines

• Familiarity with distributed systems, cloud platforms (AWS, Azure, GCP), and MLOps tools (MLflow, W&B, CI/CD)

• Strong analytical and problem-solving skills, especially in complex scientific or healthcare data contexts

• Excellent communication skills and ability to explain technical concepts to multidisciplinary stakeholders

Preferred Qualifications:

• Proven track record of publications in top-tier AI/ML or healthcare informatics conferences

• Experience applying AI to drug discovery, genomics, imaging, clinical trials, or real-world evidence

• Experience with vector databases, retrieval-augmented generation (RAG), and knowledge graphs

• Familiarity with regulatory and compliance considerations in healthcare AI

• Experience working in cross-functional, global R&D organizations

• Active GitHub profile with open-source contributions, reproducible research code, or production-grade AI/ML systems

What Makes This Role Unique:

• Work on cutting-edge agentic AI systems with real clinical and scientific impact

• Opportunity to publish, patent, and influence AI strategy in pharmaceutical R&D

• Collaborate with world-class AI and biomedical scientists across global teams

• Contribute directly to accelerating the discovery and development of life-changing medicine

What Sanofi Offers:

• Meaningful Impact: Opportunity to improve millions of lives through breakthrough AI innovations

• World-Class Environment: Collaborate with leading scientists, researchers, and healthcare experts

• Cutting-Edge Resources: Access to state-of-the-art computing infrastructure and healthcare datasets

• Professional Growth: Support for conferences, publications, and continuous learning opportunities

• Comprehensive Benefits: Competitive compensation, health benefits, retirement plans, and wellness programs

• Work-Life Integration: Flexible work arrangements and commitment to employee wellbeing

• Global Community: Join a diverse, inclusive culture spanning 100+ countries

• Sustainability Focus: Contribute to our commitment to environmental and social responsibility

Our Values in Action:

• Aim Higher: Push the boundaries of what's possible in AI and healthcare

• Act for Patients: Keep patient needs at the center of every innovation

• Be Bold: Take calculated risks to achieve breakthrough results

• Lead Together: Foster collaboration across disciplines and cultures

How to Apply:

Please submit your resume, and links to relevant publications, GitHub repositories, or portfolio projects demonstrating your experience in AI/ML systems.

The salary range for this position is:

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:

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