At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Toronto, Ontario, Canada Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Purpose: The MedTech Supply Chain Digital organization is seeking a Lead Data Scientist with strong hands-on expertise in Generative AI, LLMs, agentic AI systems, classical machine learning, computer vision, and end-to-end ML solution delivery. In this role, you will lead the design, development, and deployment of production-grade AI solutions that drive measurable business impact across J&J MedTech. You are a highly motivated, self-directed critical thinker who excels in a fast-paced environment where rapid prototyping, iterative experimentation, and close cross-functional collaboration are the norm. You will partner with product managers, data engineers, and business leaders to shape and execute a cohesive AI/ML product strategy that accelerates product-led transformation, maximizes reusability, and delivers scalable, cost-effective solutions across J&J's integrated digital ecosystem. If you thrive on turning ideas into working solutions quickly, enjoy collaborating across disciplines, and want to operate at the forefront of AI innovation within a global enterprise this role is for you.

You will be responsible for

As a Lead Data Scientist with a strong foundation in data science and expertise in Agentic AI, classical machine learning, and computer vision, you will collaborate across teams to shape a cohesive digital product and technology strategy that enables product-led transformation and a scalable, reusable, modular, and cost-effective digital ecosystem.

In addition, you will

Lead end-to-end AI/ML and GenAI projects, from business problem framing and requirements gathering through data preparation, model development, solution architecture, production deployment, and post-production monitoring and optimization Architect and deliver comprehensive ML-based solutions for highly complex, cross-functional projects that address diverse challenges and opportunities across J&J's business segments Design, build, and deploy agentic AI systems, including multi-agent orchestration, tool-use frameworks, retrieval-augmented generation (RAG), and autonomous decision-making workflows Conduct proof-of-concepts (POCs) and rapidly prototype ML/GenAI-based digital products aligned with business priorities across various segments and functions, translating POCs into production-grade solutions Collaborate closely with product management, engineering, and business partners to define product vision, develop technical roadmaps, and ensure AI solutions deliver measurable business value Provide technical leadership and mentorship to data scientists and ML engineers; conduct code reviews, model reviews, and establish best practices for the team Author and review technical proposals, design documents, and reports; contribute to internal knowledge sharing and external thought leadership in AI/ML Stay at the forefront of the AI/ML landscape, continuously evaluate emerging technologies (foundation models, agentic frameworks, multi-modal AI) and drive their adoption to evolve the broader Data Science team's capabilities Establish and enforce standards for model governance, responsible AI practices, reproducibility, and documentation across the project lifecycle Requirements / Qualifications: Required Skills: PhD with 1+ years or MS with 3+ years of proven hands-on experience in data science, building and deploying large-scale ML models and systems in cloud environments (Azure preferred) Demonstrated expertise in LLMs, Generative AI, and agentic AI including hands on experience with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar orchestration tools Proven track record of deploying AI/ML solutions to production including model serving, API development, scalability considerations, and monitoring Strong programming skills in Python; proficiency with ML libraries (such as PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.) and data processing tools (Spark, SQL, Pandas) Depth and breadth in state-of-the-art agentic AI technologies, multi-agent systems, tool use, planning and reasoning architectures, memory management, and human-in-the-loop patterns Experience with prompt engineering, LLM fine-tuning, RAG pipelines, embedding strategies, and evaluation frameworks for generative AI solutions Excellent communication, interpersonal, and written skills ability to translate complex technical concepts for non-technical stakeholders; highly developed negotiating and influencing skills Preferred Qualifications Experience with MLOps and DevOps workflows, CI/CD pipelines, model versioning, experiment tracking (MLflow, Weights & Biases), containerization (Docker, Kubernetes), and infrastructure-as-code Experience with Azure AI services, Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Cognitive Services, and related cloud-native AI tooling Familiarity with responsible AI frameworks, fairness, explainability, bias detection, and model governance at enterprise scale Experience in multi-functional projects and partnering directly with business stakeholders to drive adoption and change management Domain experience in Demand/Supply Planning, Manufacturing, or Supply Chain concepts and their data ecosystems Experience with real-time/streaming AI systems or event-driven architectures Publications or patents in AI/ML-related fields are a plus Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JNJDataScience Required Skills: Preferred Skills: Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis The anticipated base pay range for this position is : The anticipated base pay range for this position is $107,550 and $157,550 CAD , but will be based on candidate’s program year, discipline, degree and/or experience..

Additional Description for Pay Transparency

Under current guidelines, this position is eligible for a discretionary performance bonus.