Johnson & Johnson
Pharma · Pharma + medtech
- HQ
- New Brunswick, US
- Founded
- 1886
- Size
- 130,000+
- Website
- jjmt.com.tw
Pharma · Pharma + medtech
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 |
|---|---|---|
| Principle Optimization Engineer This Principal Optimization Engineer role focuses on designing, developing, and deploying optimization and simulation capabilities for complex supply chain problems. It involves crafting algorithms, piloting solutions, and scaling them across the enterprise. The role will incorporate AI/ML techniques, including Generative AI and Agentic AI, to enhance decision-support capabilities. Collaboration with data scientists, data engineers, and product management is key, as is driving innovation in supply chain methods. | AgentData | 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 |
| Senior Data Scientist - Business Innovation Senior Data Scientist role focused on developing and deploying AI/ML solutions within the pharmaceutical commercial space at Johnson & Johnson. The role involves extracting insights from data, identifying use cases, building and testing models, and partnering with business stakeholders to implement predictions and drive business value. Experience with GenAI, LLMs, and commercial pharmaceutical data is preferred. | Ship | 7 |
| AI Engineering- Finance Lead the AI transformation of Finance within the SigniFi program, implementing an AI-enabled SDLC, accelerating Digital FTE outcomes, and embedding intelligent automation and decision support across global finance platforms. Combines AI/ML expertise, SAP technical depth, and finance experience to translate strategy into scalable, enterprise-grade solutions. | AgentData | 7 |
| AI Engineering- Finance Lead the AI transformation of Finance within the SigniFi program, implementing an AI-enabled SDLC, accelerating Digital FTE outcomes, and embedding intelligent automation and decision support across global finance platforms. This role requires a blend of AI/ML expertise, SAP technical depth, and finance experience to translate strategy into scalable, enterprise-grade solutions. | AgentData | 7 |
| Director, SC Plan & Inventory Optimize Director, SC Plan & Inventory Optimize role at Johnson & Johnson (DePuy Synthes) focuses on leading the technology strategy, design, and implementation of supply chain planning and inventory optimization solutions. This includes leveraging AI, advanced analytics, and automation to improve demand forecasting, planning accuracy, and decision-making across a global supply network. The role also involves managing a team, ensuring compliance, and driving digital transformation within a regulated medical technology environment. | AgentData | 7 |
| Data Science Intern Seeking a Data Science Intern to support analytics initiatives in machine learning, generative AI, and agentic AI solutions within the healthcare and patient support landscape. The intern will gain hands-on experience with real-world data, analytics tools, and cross-functional partners to develop insights, prototypes, and performance reporting. Responsibilities include data collection, cleaning, analysis, supporting ML/GenAI/agentic AI use case development, assisting with LLM/GenAI/AI agent experimentation, building dashboards, and translating findings into recommendations. Requires Python/R, SQL, and strong analytical skills. Preferred qualifications include exposure to Generative AI, LLMs, agentic AI concepts, and data visualization tools. | AgentPost-train | 7 |
| Lead, Technology Product Management – AI, Data & Insights Lead Technology Product Manager for AI, Data & Insights role blends technical product ownership with hands-on engineering, focusing on the delivery of scalable commercial solutions including AI that transform pharma operations. The role requires architecting and building AI/GenAI capabilities, including LLMs, AI agents, and cloud-native data platforms, with fluency in data science, data engineering, and cloud technologies. | AgentData | 7 |
| Data Scientist Software Engineer - Johnson & Johnson Surgery, Copenhagen Denmark Data Scientist Software Engineer role focused on developing AI and computer vision technologies for surgical visualization. Responsibilities include data collection, dataset preparation for AI/ML training, building deployment tools for training pipelines, and prototyping new features. The role involves working with advanced imaging program teams to drive breakthroughs in medical visualization. | ServeData | 7 |
| Senior Computer Vision Engineer - Johnson & Johnson Surgery, Copenhagen Denmark Senior Computer Vision Engineer at Johnson & Johnson Surgery in Copenhagen, Denmark. The role focuses on developing and deploying novel geometric computer vision and AI-based vision technologies to enhance surgical efficiency and safety. Responsibilities include algorithm development, visualization tools, and documenting underlying mathematical principles. Requires expertise in stereo computer vision, C++, and Linux, with preferred experience in CUDA and AI/ML frameworks like PyTorch. | Ship | 7 |
| Principal Software Engineer - Tech Lead Principal Software Engineer - Tech Lead for a MedTech company's AI platform, focusing on building scalable APIs, SDKs, CLIs, and UIs to support surgical AI development. The role involves owning the platform as a product, building shared ML infrastructure (serving, registry, orchestrator, training/inference control planes), designing developer experiences, and optimizing performance, safety, and cost for training and inference. Requires strong system design, API design, and end-to-end ML lifecycle experience. | ServeData | 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 |
| Technology Manager – Customer Experience & Digital Contracting Technology Manager leading Global Customer Experience (CX) Digital Contracting capabilities in a highly regulated healthcare environment. This role has end-to-end accountability for technology strategy, architecture, engineering delivery, and operations across Digital Contracting and Customer Self-Service solutions. It involves driving applied AI/ML initiatives like Conversational AI, LLM/RAG, and agent frameworks, and operationalizing AI safely at scale. The role requires people leadership, strategic ownership, and hands-on technical engagement. | Agent | 7 |
| Associate Director, Discovery Informatics Associate Director, Discovery Informatics role at Johnson & Johnson, leading a team to build next-generation scientific technology for drug discovery, focusing on peptide and small molecule discovery. Key deliverables include genAI design pipelines, virtual screening workflows, and applications for molecule design. The role involves defining a technical roadmap, ensuring delivery of tools for non-experts, and cross-functional partnership. Requires advanced degree, 8+ years of experience in life science informatics, strong coding (Python), database expertise, and understanding of drug discovery workflows. Preferred qualifications include ML in molecular design and familiarity with agentic systems. | AgentData | 7 |
| Staff Engineer, AI/ ML/Surgical Robotics - OTTAVA Staff Engineer AI/ML for Digital Manufacturing at Johnson & Johnson, focusing on developing and deploying analytics and ML solutions for supply chain operations. The role involves leading end-to-end delivery of ML solutions, including data ingestion, feature engineering, model development, validation, deployment, and lifecycle management, with a strong emphasis on MLOps and adherence to regulated manufacturing standards. Key responsibilities include designing production-grade pipelines, real-time inference, and translating manufacturing challenges into measurable use cases. | ServeAgent | 7 |
| Manager, Insights Engineering & Innovation, Medical Affairs, Japan Manager leading insight analytics and AI-driven automation within Medical Affairs, focusing on GenAI, LLMs, NLP, and conversational AI. The role involves end-to-end lifecycle management of AI initiatives, from problem framing to deployment and monitoring, with a strong emphasis on operationalizing these capabilities in a regulated healthcare environment. Requires hands-on technical expertise in data engineering, ML/NLP, MLOps, and stakeholder management. | AgentPost-train | 7 |