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 |
|---|---|---|
| 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 |
| Senior Scientist, AI Applications - R&D Immunology Data Science & Digital Health Senior Scientist role focused on developing and delivering AI/ML scientific applications in Immunology R&D, specifically working with LLMs and advanced data science techniques to accelerate drug discovery. Key focus areas include multimodal reasoning, agent robustness, memory architectures, and uncertainty quantification. The role involves hands-on technical delivery, translating business opportunities into research plans, and contributing to the broader AI strategy. |
| Agent |
| 9 |
| Senior Scientist, AI Applications - R&D Oncology Senior Scientist role focused on developing and delivering AI/ML scientific applications for oncology drug discovery and development. The role involves working with LLMs, multimodal reasoning, agent memory architectures, and uncertainty quantification to accelerate research. Key responsibilities include hands-on technical delivery, prototyping, evaluation, and defining best practices for AI applications. | Agent | 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 |
| 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 GateAgent | 8 |
| Design Leader, Polyphonic AI Lab Design Leader for a surgical data & AI platform (Polyphonic AI Lab) at Johnson & Johnson MedTech. This role will define and design the user experience and interface for a platform that manages multimodal surgical data and enables the development, deployment, and scaling of ML/AI models in regulated healthcare environments. The leader will partner with product management, engineers, data scientists, and clinicians to drive the platform's vision, roadmap, and delivery, focusing on human-centered design and integrating with a design system for AI/ML tooling. | ServeAgent | 7 |
| IT Lead Automation Innovation Specialist This role focuses on developing and implementing automation software solutions, including AI/ML and generative AI algorithms, to streamline business processes. It involves designing, developing, testing, and deploying these solutions, capturing knowledge from experts, analyzing datasets, and researching emerging technologies in automation and AI. The specialist will collaborate with stakeholders to identify automation opportunities and provide training and support to end-users. | Agent | 7 |
| Senior Program Manager, R&D Senior Program Manager for Vision R&D programs at Johnson & Johnson, focusing on computer vision, imaging systems, and ML-based vision solutions. The role involves end-to-end leadership of global new product development, coordinating cross-functional teams, managing program execution, defining roadmaps, and ensuring compliance with quality, safety, and regulatory requirements in a regulated healthcare environment. Responsibilities include managing imaging hardware, optics, embedded software/firmware, and machine learning components, with a focus on data strategy, model training/validation, MLOps, and deployment. | AgentData | 7 |
| Senior Program Manager, R&D Senior Program Manager for Vision R&D programs at Johnson & Johnson, focusing on computer vision, imaging systems, and ML-based vision solutions. The role involves end-to-end leadership of global new product development, coordinating cross-functional teams, managing program execution, defining roadmaps, and ensuring compliance with quality, safety, and regulatory requirements in a regulated healthcare environment. Responsibilities include managing imaging hardware, optics, embedded software/firmware, and machine learning components, with a focus on data strategy, model training/validation, MLOps, and deployment. | AgentData | 7 |
| Associate Director, US CRM AI Lead The Associate Director, US CRM AI Lead will define and own the AI strategy and roadmap for Customer Relationship Management (CRM) within Johnson & Johnson's Innovative Medicine division. This role focuses on transforming CRM into an intelligent, agentic system of engagement by integrating AI-driven automation and insights into core business processes like customer engagement, call planning, and territory planning. The lead will partner with technology, commercial, and compliance teams to identify improvements, measure ROI of AI capabilities, and ensure AI readiness in CRM implementations, particularly within regulated workflows. Experience with AI tools and integrating AI into commercial workflows is essential. | Agent | 7 |
| Associate Director, AI Next Frontiers for Patient Engagements Associate Director, AI Next Frontiers for Patient Engagements at Johnson & Johnson Innovative Medicine. This role leads the AI transformation and execution roadmap for patient support services, focusing on elevating patient solutions and experience through strategic AI application for fulfillment and adherence. Responsibilities include product ownership of AI/ML solutions, stakeholder management, compliance, identifying patient journey problems, evaluating data sets and methodologies, determining solution impact via measurement frameworks and A/B testing, and advocating for AI adoption. | Ship | 7 |
| Data and Generative AI Engineer Data and Generative AI Engineer at Johnson & Johnson focused on designing, developing, and delivering Generative/Agentic AI solutions to accelerate End-to-End Data Pipeline Engineering. The role involves building agent workflows, prompt engineering, and integrating LLM APIs, while also handling data ingestion, transformation, and storage. Requires strong Python, software development, data engineering, and cloud skills, with familiarity in LLMs, RAG, and agentic architectures. | AgentData | 7 |
| Director, Transformation Office - AI Next Frontiers in Pharma Commercialization This role leads the strategy and execution of enterprise AI initiatives for pharmaceutical commercialization, focusing on marketing, patient support, and commercial operations. It involves developing AI Digital Assistants and Intelligent Orchestration capabilities to improve field productivity and customer engagement, ensuring scaled, measurable business impact and adoption. | Agent | 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), 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 |
| Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply The Principal Data Scientist will design, build, and scale AI/ML, simulation, forecasting, optimization, decision intelligence, and digital twin capabilities to support decision-making in Drug Product Development & Supply (DPDS), with a primary focus on Therapeutics Development & Supply (TDS). This role involves translating complex scientific and operational processes into practical decision intelligence capabilities, applying data science and operations research methods, and developing robust analytical workflows using Python and modern tooling. The candidate will partner with stakeholders, lead technical work, and mentor junior colleagues. | AgentData | 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 |
| Associate Director, AI Quality And Governance – R&D Data Science & Digital Health Associate Director to lead enterprise-aligned AI governance for Data Science & Digital Health in R&D, focusing on implementing high-quality, compliant, and scalable governance practices for AI/ML and GenAI systems, ensuring safe and responsible development and deployment. This role involves partnering with Quality, Legal, Regulatory Affairs, and IT to streamline processes, embed AI safety, and align with strategic priorities. | Ship | 7 |
| Manager, AI Advanced Analytics Manager, AI Advanced Analytics role at Johnson & Johnson, supporting the commercial organization's Customer AI Product Strategy (CAPS) group. This role focuses on driving advanced analytics, including AI/ML, for the Neuroscience commercial franchise to solve complex unmet needs, influence decision-making, and drive revenue growth. Responsibilities include developing analytical solutions, managing stakeholder relationships, acting as an internal consultant, collaborating with vendors, assisting with budget and project management, and managing story development and presentation of analytical solutions. The role also involves building and managing promotion response models. | Ship | 7 |
| Associate Director, Commercial AI & Advanced Analytics Associate Director, Commercial AI & Advanced Analytics role at Johnson & Johnson, focusing on leading AI-driven initiatives for Cardiovascular and Metabolics business development. The role involves strategic application of AI and advanced analytics across commercial, medical, and patient domains, shaping decision-making, engagement, and outcomes. Responsibilities include serving as product owner, managing stakeholder partnerships, leading opportunity identification, driving use-case evaluation, establishing measurement frameworks, and acting as a change leader. Requires experience in healthcare data integration, AI/ML techniques, and delivering AI initiatives in the pharmaceutical industry. | Ship | 7 |
| Associate Director, Commercial AI & Advanced Analytics Associate Director, Commercial AI & Advanced Analytics role focused on leading AI-driven initiatives for the Immunology therapeutic area within Johnson & Johnson's Innovative Medicine division. The role involves serving as a product owner for AI/ML solutions, shaping customer and patient engagement roadmaps, identifying opportunities for AI interventions, and improving predictive/prescriptive capabilities in the commercial domain (sales, marketing, patient teams). Requires experience integrating healthcare data and delivering AI initiatives in the pharmaceutical industry. | Ship | 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 |
| Senior Manager, AI Enablement Senior Manager, AI Enablement role at Johnson & Johnson Innovative Medicine Technology, focusing on the safe, scalable adoption of AI, including generative and agentic AI, for North America commercial teams. The role acts as a bridge between business stakeholders and AI platform/delivery teams, translating business priorities into AI solutions, managing governance, ensuring responsible AI practices, and driving adoption and scale. Requires strong product management, design thinking, and experience with GenAI/LLM production deployments. | Agent | 7 |
| Director, Technology Product Group Leader – Submission Excellence Director, Technology Product Group Leader – Submission Excellence at Johnson & Johnson, responsible for leading the development, engineering, and operationalization of AI and data solutions to accelerate regulatory submissions. The role involves leveraging generative AI, designing AI technologies for workflow streamlining, leading the creation of AI-ready data packages, and managing AI product lifecycles, including governance and architecture decisions, with a focus on measurable business value and adoption. | AgentData | 7 |
| Senior Director, Immunology Data & AI Systems Senior Director role leading a team to accelerate Immunology R&D by advancing data utility through AI. The role focuses on scaling the development of enterprise data products and deploying AI models and solutions, integrating various data assets (preclinical, translational, clinical, RWD) into the R&D data ecosystem. Responsibilities include defining roadmaps, partnering with data governance teams, developing and deploying AI solutions, and championing data literacy. | AgentData | 7 |
| Principal Data Scientist - Immunology - (2 positions) The Principal Data Scientist - Immunology will design and implement a scalable knowledge graph infrastructure to standardize and connect biomedical and clinical data for Immunology R&D. This role involves applying graph-based data modeling, curating ontologies, working with semantic web technologies, and enabling NLP/RAG over graphs to power analytics and AI across the organization. | Agent | 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 |
| 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 |
| 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 |