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Lead Data Scientist

Job in Bridgewater, Plymouth County, Massachusetts, 02324, USA
Listing for: Johnson & Johnson
Full Time position
Listed on 2026-07-23
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 109000 - 174800 USD Yearly USD 109000.00 174800.00 YEAR
Job Description & How to Apply Below

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Data Science

Job Category

Scientific/Technology

All Job Posting Locations
  • Bridgewater, New Jersey, United States of America
  • Horsham, Pennsylvania, United States of America
  • Raritan, New Jersey, United States of America
  • Spring House, Pennsylvania, United States of America
  • Titusville, New Jersey, United States of America
Job Description

We are searching for the best talent for Lead Data Scientist.

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.

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.

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 Lang Chain,…
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