Johnson & Johnson
Pharma · Pharma + medtech
- HQ
- New Brunswick, US
- Founded
- 1886
- Size
- 130,000+
- Website
- jjmt.com.tw
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.
Pharma · Pharma + medtech
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 focused on applying and refining deep learning algorithms for microscopic image analysis in histopathology, aiming to improve drug discovery and clinical trial efficacy. The role involves developing innovative computer vision solutions, collaborating with cross-functional teams, and contributing to scientific publications. | Post-train | 8 |
| Post Doctoral Researcher, Evaluation & Standards in Clinical Operations Postdoctoral researcher to develop evaluation frameworks, rubrics, and quality systems for generative AI agents used in clinical operations and global development workflows. The role involves defining quality dimensions, designing human evaluation protocols, building benchmark datasets, and partnering with AI engineering teams in a regulated pharmaceutical environment. | Eval Gate |
| 8 |
| Senior Scientist, Multiomic Therapeutics Senior Scientist role focused on computational biology and AI/ML model development for therapeutic discovery, specifically an AI-powered siRNA design and off-target prediction framework. Requires expertise in omics data analysis, AI/ML, and pipeline development. | Post-train | 8 |
| Senior Scientist, Multiomics Perturbation Senior Scientist role focused on applying advanced computational models and AI/ML to integrate multi-modal perturbation data and human omics datasets for target/pathway nomination in therapeutic discovery for immune-mediated diseases. The role involves developing predictive frameworks, identifying target combinations, and performing in silico target deconvolution to inform portfolio decisions. Requires expertise in AI/ML for biological datasets, prediction modeling, phenotype scoring, and multi-omics integration. | Post-train | 8 |
| 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 |
| 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) within Johnson & Johnson Innovative Medicine. The role involves hands-on model development, translating scientific questions into modeling problems, and ensuring model robustness and actionability. It also requires applying software engineering best practices, collaborating with cross-functional teams, and providing technical guidance. Experience in pharmaceutical development or a related quantitative field is preferred. | Post-train | 7 |
| Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply Seeking a Principal Data Scientist to design, build, and scale AI/ML, simulation, forecasting, optimization, decision intelligence, and digital twin capabilities for Drug Product Development & Supply (DPDS), focusing on Therapeutics Development & Supply (TDS). The role involves translating complex processes into computational models, applying various quantitative methods, and developing robust analytical workflows using Python and cloud services, adhering to software engineering best practices. The individual will lead technical work, mentor junior colleagues, and partner with stakeholders to embed solutions into business planning and decision workflows. | Agent | 7 |