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.
Learn more at
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
#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 $109,000 to $174,800 USD.
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits
