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 |
|---|---|---|
| Postdoctoral Data Analytics Computational Sciences Postdoctoral researcher for application of advanced AI/ML methods to microscopic images of clinical and preclinical histopathology. Focus on application and refinement of deep learning algorithms to quantitate histopathology, and implementation of novel state-of-the-art techniques. Improve understanding of cellular organization and tissue structure to enhance clinical trial efficacy and efficiency. | Post-trainServe | 9 |
| Sr Director Head of Data Science Services Senior Director, Head of Data Science Services for HR at Johnson & Johnson. This role leads the enterprise HR data science strategy, focusing on building predictive, diagnostic, and prescriptive models, and industrializing insights. It involves owning the employee listening strategy, knowledge management, and ensuring responsible AI practices, including exploring generative AI and LLMs. The role requires leading a global team and partnering with various stakeholders to embed AI into HR products and workflows. |
| Post-trainAgent |
| 8 |
| Principal Data Scientist – R&D DSDH - Therapeutics Discovery (TD) The Principal Data Scientist will build and apply advanced Machine Learning (ML) and Data Engineering solutions to accelerate scientific innovation in drug discovery. This role involves developing ML/AI models for target prioritization, multi-omics integration, and mechanistic inference, applying modern ML approaches to diverse datasets, and building robust data pipelines. The scientist will collaborate with discovery teams to translate experimental data into actionable insights and deploy models into production R&D environments. | Post-trainData | 8 |
| Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply Seeking a Principal Data Scientist to design, build, validate, and deliver applied AI/ML and statistical modeling solutions for Drug Product Development & Supply (DPDS), focusing on Therapeutics Development & Supply (TDS). The role involves partnering with various teams to create practical, high-impact models supporting CMC development, pharmaceutical product development, dossier preparation, technical development, and clinical supply. Responsibilities include hands-on model development, feature engineering, diagnostics, error analysis, uncertainty assessment, developing reusable workflows using Python and cloud services, applying software engineering best practices, and providing technical guidance. | Post-train | 7 |
| Postdoctoral Scholar, AI/ML for drug metabolite prediction and LC-MS analytical chemistry This role focuses on developing and evaluating AI/ML models for drug metabolite prediction, pharmacokinetics, and molecular properties within a healthcare/drug discovery context. It involves fundamental research using internal datasets, developing explainable AI tools with uncertainty estimation and active learning, and publishing findings. The role is primarily research-oriented, building and evaluating deep learning methods for analytical instrumentation and drug discovery processes. | Post-train | 7 |
| Data Science Intern (Summer 2026) This internship focuses on building production-minded analytics and AI solutions within Johnson & Johnson's Global Finance Data Science team. The intern will contribute to the entire solution lifecycle, from problem framing to deployment and adoption, developing statistical/ML models for financial forecasting, engineering features, designing AI-enabled process improvements including Generative AI use cases, building automation workflows, and creating interactive dashboards. The role emphasizes applying engineering discipline and supporting governance for deployed solutions. | Post-trainAgent | 7 |
| Experienced Data Scientist, Advanced Analytics – MedTech Quality & Compliance Experienced Data Scientist focused on advanced analytics within the MedTech Quality & Compliance domain. Responsibilities include developing and implementing machine learning models, exploring Generative AI applications, automating data pipelines, and analyzing large datasets using R and Python. The role emphasizes predictive insights and process automation in a regulated environment. | Post-trainData | 7 |
| Senior Data Scientist, Generative AI Senior Data Scientist role focused on developing and deploying Generative AI and other machine learning models within Global Finance at Johnson & Johnson. Responsibilities include end-to-end project lifecycle management, from use-case prioritization and PoC to production deployment and adoption, with a focus on upgrading ML models with LLMs, reducing hallucinations, and ensuring compliance. | Post-trainAgent | 7 |
| Postdoctoral Scientist Data Science AI/ML & DH Postdoctoral Scientist role focused on developing digital biomarkers and AI/ML algorithms for digital endpoint development using wearable sensor data within Johnson & Johnson's Innovative Medicine Research & Development division. Responsibilities include data analysis, feature extraction, model building, pipeline development, and collaboration with cross-functional teams, with an emphasis on scientific publication. | Post-trainData | 7 |