Lead Data Scientist

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

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:

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 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 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&Js 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&Js 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 teams 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 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 $109000 to $174800 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 Companys consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Companys 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. Experience:

IC