Currently tracking 49 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $77k–$283k (avg $144k).
Johnson & Johnson currently has 73 active AI-related job listings. The majority of these roles, specifically 44%, are in the agents stage. Engineering is the most frequent function for these hires, followed by Product. The company is primarily hiring in the United States. Frequent tech tags include agent_orchestration and model_serving, suggesting a focus on AI system deployment and management. In the last 30 days, Johnson & Johnson posted 104 new AI roles, representing a significant increase of 420% compared to the previous 30-day period.
Johnson & Johnson currently has 62 active AI-related roles in our index. The most common open titles are: Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply (4), Data Scientist and Application Developer (2), Lead-Data Automation and Excellence (2), Postdoctoral Data Analytics Computational Sciences (2), Senior Program Manager, R&D (2). Most positions are in Engineering and Product.
Johnson & Johnson's active AI hiring is concentrated in: agents (40%), application (19%), data (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Johnson & Johnson is hiring AI talent in: United States (38 roles), Spain (7 roles), Belgium (5 roles), Japan (4 roles).
Job postings at Johnson & Johnson most frequently reference: agent orchestration, model serving, llm observability, fine tuning, rag.
In the past 30 days, Johnson & Johnson has posted 69 new AI-related roles. That is a -37% change versus the prior 30 days (109 → 69).
| Title | Stage | AI score |
|---|---|---|
| Senior Scientist Omics - IMM Senior Scientist role focused on analyzing large-scale clinical, genetic, omics, and cell phenotype data to identify and evaluate drug targets for the Immunology therapeutic area. The role involves constructing analytic frameworks, applying statistical modeling and AI/ML methods, and using NLP to annotate targets and biomarkers. This is a research-focused position within healthcare, utilizing AI/ML for drug discovery and development. | Data | 7 |
| Director, Data Science and Digital Health - Hematology, Oncology Director level role focused on applying Data Science and AI/ML to support early-stage Hematology Oncology drug development at Johnson & Johnson. Responsibilities include identifying and delivering Data Science capabilities, applying advanced analytic methodologies to high-dimensional data like real-world evidence, and contributing to data-driven decision-making in R&D. | Data |
| 7 |
| Manager – Data Quality and Automation Manager for Data Quality and Automation in J&J's global supply chain, focusing on AI implementation and efficiency gains. Ensures data accuracy and trustworthiness, champions AI-enabled approaches, and drives continuous improvement. | Data | 5 |
| Manager, R&D Data, Data Science & Artificial Intelligence – Immunology Real World Evidence Manager, R&D Data, Data Science & Artificial Intelligence – Immunology Real World Evidence at Johnson & Johnson. This role supports data science and real-world evidence activities for Immunology R&D programs, applying established methodologies to generate insights for clinical development and scientific decision-making. Responsibilities include supporting evidence generation plans, applying data science methods to real-world data, collaborating with cross-functional teams, and contributing to scientific publications. Requires an advanced degree in a quantitative discipline and experience in pharmaceutical R&D or healthcare analytics, with preferred experience in machine learning and predictive modeling. | Data | 5 |
| Senior Manager Data Products – Therapeutic Area (TA) The Senior Manager Data Products – TA is responsible for shaping and delivering user-centric data products that enable advanced analytics, data science, and AI/ML capabilities across a Therapeutic Area. This role translates scientific and data science needs into scalable, reusable, and AI-ready data products, ensuring they are fit-for-purpose, semantically consistent, interoperable, and aligned with enterprise standards to accelerate discovery, evidence generation, and regulatory readiness. The role involves leading product delivery, driving data integration, contributing to ontologies and metadata, collaborating with cross-functional teams, and providing leadership to product owners and data engineers. | Data | 5 |
| Lead-Data Automation and Excellence Lead Data Automation and Excellence role responsible for leading a technology squad in the plan, design, monitor, build, and operation of high-quality, scalable, and AI-ready data assets. This role provides hands-on technical leadership, drives automation of curating using AI agents for data management, sets engineering standards, and ensures alignment with enterprise architecture. It combines deep data engineering expertise with architectural judgment, mentoring capability, and modern AI for Data management experience. | Data | 5 |