Lead Data Scientist
Listed on 2026-08-04
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld 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 Med Tech, 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
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
Purpose:
The Med Tech 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 Med Tech. 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:
- 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
- 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,…
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