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, Data Science - DDSAI - Preclinical Sciences & Translational Safety (PSTS) Seeking a Senior Scientist, Data Science to leverage advanced machine learning and data engineering techniques within the Pharmaceutical Sciences & Translational Safety (PSTS) organization. The role involves creating AI-ready datasets, developing predictive models for safety signal detection and dose selection, and delivering analytical solutions to support improved safety evaluations and translational research in a healthcare R&D setting. | DataPost-train | 7 |
| 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 |
| Director IM Digital Technology Lead (Finance) This role is responsible for shaping and scaling Finance Data & Analytics (D&A) and AI capabilities for Johnson & Johnson Innovative Medicine Finance globally. The Director will build a best-in-class Finance D&A capability that delivers trusted, governed, and AI-enabled insights, owning technology strategy and platform decisions, and integrating Finance data solutions into the broader J&J enterprise data and technology ecosystem. The role also involves people and capability leadership, building and developing a high-performing captive team in India. | Data | 5 |
| 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 |
| [Innovative Medicine] R&D, Sr. Scientist Biostatistics, Statistics & Decision Sciences Japan, Global Development The Senior Scientist, Biostatistics will support the design and execution of studies and experiments for Clinical Development and Medical Affairs programs at J&J Innovative Medicines. This role involves statistical analysis, interpretation, and reporting of data evidence, collaborating with Quantitative Sciences & Clinical Pharmacology functions. The position supports statistical aspects of business and regulatory commitments, assists program plans, and represents Statistics & Decision Sciences in various teams. The role requires proficiency in data analytics, statistical principles, R, SAS, and familiarity with AI/ML tools, applying advanced statistical techniques, and optimizing study designs. | Data | 5 |
| [Innovative Medicine] R&D, Scientist Biostatistics, Statistics & Decision Sciences Japan, Global Development Scientist supporting the design and execution of studies and experiments for Clinical Development and Medical Affairs programs, with evolving supervision. Activities require guidance from managers and project statisticians. Support is provided to statistical analysis, interpretation, and reporting or communication of data evidence towards programs for research, development, and/or marketed product needs. Collaborates with Quantitative Sciences & Clinical Pharmacology functions and other drug development scientists. Supports statistical aspects of key business and regulatory commitments and assists program plans. | 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 at Johnson & Johnson, responsible for leading a technology squad in the plan, design, build, and operation of AI-ready data assets. This role involves hands-on technical leadership, driving automation of data curation using AI agents, setting engineering standards, and ensuring alignment with enterprise architecture. The role requires deep data engineering expertise, architectural judgment, mentoring capabilities, and modern AI for Data management experience, including prompt engineering, LLMs, and GenAI concepts. | 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 |