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Sanofi

Senior Scientist - Agentic AI Systems

Posted 4 Hours Ago
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In-Office
Toronto, ON
Senior level
In-Office
Toronto, ON
Senior level
Design, develop, and deploy autonomous agentic AI systems for drug discovery and clinical research. Build multi-agent architectures (memory, planning, reasoning, tool-use), implement production-ready pipelines with monitoring and governance, ensure regulatory compliance, conduct research and publications, collaborate with cross-functional R&D teams, and mentor junior scientists.
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Reference No. R2841449 

Position Title: Senior Scientist - Agentic AI Systems
Department:  Computational Science
Location: Toronto, ON

About the Job

Join the digital engine driving Sanofi’s transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale.

About the Role

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.

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

  • 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

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

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

  • 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

  • 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

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.

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

  • 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

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.

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Pursue progress, discover extraordinary

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:

127,000.00 - 177,000.00 (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:

127,000.00 - 177,000.00 (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

Top Skills

Python,Pytorch,Tensorflow,Jax,Langchain,Langgraph,Autogen,Crewai,Aws,Azure,Gcp,Mlflow,Weights & Biases (W&B),Ci/Cd,Vector Databases,Rag,Knowledge Graphs,Large Language Models,Transformers,Github

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