Lead Data Scientist

Johnson & Johnson

Remote

Quick summary

Work type
Remote
Location
Bridgewater, NJHorsham, PARaritan, NJSpring House, PATitusville, NJ
Salary
$109,000–$174,800 / yr
Posted
4 days ago
Closes
Jul 12, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k
This role $142k
$95k most similar roles pay here $237k

This role pays less than 73% of similar roles. Most pay $135,000–$200,050 — the shaded band above. At the midpoint, this role pays about $142k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 71 open roles on FindRole.

Listed pay typically runs $120,000–$201,250 across 68 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Lead Data Scientist

Join the MedTech Supply Chain Digital team as a Lead Data Scientist and lead the design and deployment of production-grade AI solutions that drive business impact. You will collaborate with product managers, data engineers, and business leaders to develop end-to-end ML solutions for complex projects across J&J's segments, focusing on agentic AI systems, multi-agent orchestration, and autonomous decision-making workflows. Essential skills include hands-on experience in Generative AI, LLMs, classical machine learning, and computer vision, along with strong programming skills in Python and proficiency in frameworks like PyTorch, TensorFlow, and Hugging Face. Ideal candidates will have a PhD or MS plus relevant industry experience, expertise in Azure cloud environments, and the ability to mentor team members while staying at the forefront of AI/ML advancements.

What you'll do

  • Lead end-to-end AI/ML project development from problem framing to post-production optimization.
  • Design and deploy agentic AI systems including multi-agent orchestration and autonomous decision-making workflows.
  • Conduct proof-of-concepts for ML/GenAI-based digital products aligned with business priorities.
  • Provide technical leadership, mentorship, and conduct code/model reviews for data science teams.
  • Stay updated on emerging AI technologies and drive their adoption within the Data Science team.
  • Establish standards for model governance, responsible AI practices, reproducibility, and documentation.

What we're looking for

  • PhD with 1+ years or MS with 3+ years of hands-on data science experience in cloud environments.
  • Expertise in LLMs, Generative AI, and agentic AI systems including frameworks like LangChain and Semantic Kernel.
  • Proven track record of deploying production-grade AI/ML solutions with model serving and API development skills.
  • Strong programming skills in Python and proficiency with ML libraries such as PyTorch, TensorFlow, and Hugging Face.
  • Depth in state-of-the-art agentic AI technologies including multi-agent systems and human-in-the-loop patterns.
  • Experience with prompt engineering, LLM fine-tuning, RAG pipelines, and evaluation frameworks for generative AI solutions.

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