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.
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 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 |
| Sr Principle Data Scientist - DDSAI - Therapeutics Discovery The Sr Principle Data Scientist will design, develop, and maintain data pipelines and workflows for drug discovery, integrating third-party solutions and external data. This role focuses on enhancing AI/ML and advanced analytics in drug discovery processes by building scalable and reliable data solutions that support scientific learning and decision-making. The candidate will collaborate with various stakeholders to understand data requirements and deliver high-quality solutions, optimizing workflows for performance and ease of use within a life sciences R&D context. |
| Data |
| 7 |
| Sr Director, Head of Data Science & Digital Health – Preclinical Sciences & Translational Safety (PSTS) Lead the data science strategy for Preclinical Sciences & Translational Safety (PSTS), focusing on advanced automation, data integration, FAIR data practices, and the use of ML/AI. Develop and implement scalable data pipelines, ML/AI models, and analytics to support translational safety and preclinical workflows. Champion data governance, MLOps, and Responsible AI. Lead a team of data scientists and engineers, and collaborate on emerging technologies like generative and agentic AI. | DataPost-train | 7 |
| Principal Data Scientist – R&D DSDH - Preclinical Sciences & Translational Safety (PSTS) The Principal Data Scientist will leverage advanced machine learning and data engineering techniques to create AI-ready datasets, develop predictive models, and deliver analytical solutions for safety evaluations and translational research within the Pharmaceutical Sciences & Translational Safety (PSTS) organization. This role involves working closely with toxicologists, PK/PD specialists, and researchers to improve safety evaluations and facilitate translational research. | DataPost-train | 7 |
| Sr Scientist, Data Science – R&D DSDH – Discovery Biologics This role focuses on designing, building, and maintaining scalable data pipelines and workflows for biologics discovery, integrating various data sources and systems to enhance AI/ML and advanced analytics in drug discovery processes. The primary focus is on data engineering to support scientific learning and decision-making. | Data | 7 |
| Principal Scientist, Computational Pathobiologist Seeking a Principal Scientist, Computational Pathobiologist to build the digital and analytical engine for translational safety. This role involves democratizing Pathobiology data, designing, building, and deploying modern data pipelines, automations, and AI-enabled analytics to transform multimodal nonclinical data into decision-ready insights. The scientist will translate complex Pathobiology questions into actionable data science challenges, applying analytics, visualization, modeling, and AI to generate mechanistically grounded adverse outcome pathways and deepen understanding of safety findings. | DataPost-train | 7 |
| Principal Data Engineer – Safety Analytics (Global Medical Safety) Principal Data Engineer for Global Medical Safety, focused on building and enabling modern safety analytics tools using AI, Machine Learning, and GenAI on GCP. Responsibilities include end-to-end data engineering, feature engineering, RAG implementation, API/microservice development, and ensuring GxP compliance for pharmacovigilance data. | DataAgent | 7 |
| Director, R&D Data Science & Digital Health – OCMO (Office of the Chief Medical Officer) Lead the data science and data engineering strategy for the OCMO organization, focusing on building end-to-end capabilities for safety signal detection and interpretation. This involves AI-ready data engineering, predictive modeling, and translating insights back to the discovery organization. The role emphasizes robust data pipelines, governed data products, and traceable data foundations. | DataPost-train | 7 |
| Sr Director, Head of Data Science & Digital Health -Therapeutics Discovery Sr Director to lead Data Science and engineering strategy for R&D Therapeutics Discovery (TD). Role will partner with TD leadership, data scientists, and IT to streamline discovery data automation, deliver robust data products, and scale advanced analytics and AI capabilities. Focus on data capture, integration, and leveraging AI for decision-making and innovation. Will collaborate on emerging technologies like generative and agentic AI, multimodal analytics, and advanced automation tools. Requires leadership in data strategy, pipelines, governance, MLOps, and Responsible AI. | DataAgent | 7 |