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 |
|---|---|---|
| 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 |
| Director, Data Science - DDSAI - Therapeutics Discovery Director of Data Science to lead the design, development, and deployment of Autonomous Learning and Closed-Loop Optimization capabilities across the Therapeutics Discovery organization. This role integrates lab data, computational models, and MLOps infrastructure into a learning loop to inform experiments, analyze data, and aid molecule synthesis. It aims to create self-improving discovery systems, ranging from human-in-the-loop decision support to fully closed-loop experimental optimization, by applying AI, optimization, and automation concepts. |
| AgentData |
| 8 |
| Data Scientist- Clinical Decision Support- LLMs Seeking an experienced Data Scientist to develop next-generation clinical decision support solutions using LLMs and machine learning. Responsibilities include prompt engineering, evaluation frameworks, cloud infrastructure for LLMs, RAG optimization, and developing ML models for clinical data. The role operates within a regulated SaMD environment and requires collaboration with cross-functional teams. | AgentData | 8 |
| Director, MedTech Technology AI Orchestration and Enablement Director of MedTech Technology AI Orchestration and Enablement responsible for the vision, roadmap, and delivery of an enterprise AI enablement and orchestration platform. This platform will standardize model deployment, multi-model/agent orchestration, and production MLOps across cloud and edge, enforcing governance and security guardrails, and driving business impact through automated, agentic workflows. The role owns a significant P&L and stewards AI orchestration for a large business transformation. | AgentServe | 8 |
| VP, Data & Digital Quality VP of Data & Digital Quality accountable for architecting and executing the digital and data strategy to reimagine Quality through advanced analytics, AI/ML, agentic orchestration, and next-generation risk sensing capabilities. This role accelerates the transformation from reactive compliance to predictive, intelligence-driven Quality, leveraging enterprise data, automation, and digital products to improve risk visibility, strengthen decision-making, and enhance patient safety. The role shapes the long-term digital quality vision, drives the global roadmap, and ensures high-quality delivery of platforms, predictive models, emerging technologies, and compliance systems. | AgentData | 8 |
| Senior Machine Learning Engineer - Robotics Senior Machine Learning Engineer focused on applying learning-based manipulation to improve surgical robotics performance and safety. The role involves designing models, implementing algorithms, and deploying ML-trained behaviors from research to real-world hardware, with responsibilities including mentoring and elevating team technical capabilities. Key tasks involve developing ML algorithms for task automation, building data pipelines, leveraging simulation for training and sim-to-real transfer, defining performance metrics, collaborating on deployment, and optimizing models for real-time performance. | AgentServe | 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 AI Lead – Surgical AI Principal AI Lead for the Polyphonic® Applied AI and ML team, focusing on building and deploying surgical AI models and agents. The role involves owning the full ML lifecycle, from research and development to scalable deployment, and creating platforms and user experiences for data scientists and developers. Key responsibilities include standardizing AI development pipelines, developing modular intelligence components, selecting and deploying various model families (CNN, transformer, LLM/VLM), integrating models with product functionality, optimizing inference, and bringing product judgment to MLOps platform development. | AgentServe | 8 |
| 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 |
| 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 |
| 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 |
| Director, Clinical Imaging, Translational Sciences-Immunology Director of Clinical Imaging for Translational Sciences-Immunology at Johnson & Johnson. This role focuses on developing and validating imaging-derived endpoints for the Immunology portfolio, with a primary focus on GI diseases. It involves leading the imaging measurement strategy, providing scientific oversight for imaging endpoints in clinical trials, and driving innovation by integrating AI-enabled analytics for imaging and digital endpoints. The goal is to translate emerging methods into scalable, pragmatic clinical solutions that support portfolio objectives and regulatory decision-making. | AgentServe | 7 |
| Manager, Data Science - Global Finance Manager, Data Science role focused on developing and deploying end-to-end Generative AI solutions within Global Finance at Johnson & Johnson. This role involves applying AI/ML to enhance analytics, build production-ready applications, and integrate insights into Finance and Compliance workflows at enterprise scale. Responsibilities include data preparation, modeling, prompt engineering, workflow automation, and ensuring solutions meet enterprise requirements for scalability, security, and maintainability. Experience with cloud platforms (AWS/Azure) and building AI-enabled systems for multi-step workflows is required. | AgentServe | 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 |
| Senior Manager, Agentic AI The Sr. Manager, Agentic AI role is responsible for building and scaling agentic AI capabilities to improve the experience and productivity of CLOUDx customers and engineers. This leader will define the product and engineering roadmap, lead a team of engineers, and partner with stakeholders to deliver production-grade agentic solutions using platforms like Amazon Bedrock, with a focus on security, governance, and human-in-the-loop controls for enterprise cloud operations. | Agent | 7 |
| Senior Director, Knowledge Management & Retrieval Strategy Senior leader to define and scale R&D knowledge and retrieval capabilities that power GenAI experiences across R&D. This role leads the Knowledge Management team, focusing on Knowledge Graph, Ontology, and semantic layer design and engineering to enable AI-ready enterprise knowledge. It operates at the intersection of AI/ML, data products, data platforms, and scientific workflows, ensuring GenAI systems can reliably retrieve, reason over, and synthesize information. The role defines retrieval architectures for agentic AI systems and user-facing applications, harmonizes data interfaces, and ensures scalable, governed access to R&D knowledge assets. Requires technical depth and organizational navigation. | AgentData | 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 |
| 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 |
| Director, MedTech Technology AI/DS Platforms, Innovation Director of MedTech Technology AI/DS Platforms, Innovation at Johnson & Johnson. This role focuses on building, delivering, and operationalizing a secure, compliant, and scalable AI platform and AI product ecosystem for MedTech business units. It involves developing core AI/ML and Generative AI capabilities, ensuring alignment with healthcare regulations, and leading a distributed team. The role operates in a federated model, providing reusable capabilities and governance while business units own use cases. | ServePost-train | 7 |
| AI Enabled CSV Analyst This role focuses on driving AI-enabled process improvements and intelligent automation within Computer Systems Validation (CSV) processes. The analyst will identify and validate AI use cases, build prototypes, and ensure the quality and governance of AI-generated outputs and agents. Key responsibilities include designing and implementing AI solutions, collaborating with data science and engineering teams, and ensuring compliance with responsible AI guidelines in a regulated environment. The role requires experience deploying LLMs and AI agents, understanding prompt engineering, model evaluation, RAG, and agentic workflows, with a strong emphasis on compliance and risk management. | AgentEval Gate | 7 |
| AI Enabled Analytics Analyst This role focuses on defining and implementing AI solutions within Quality and Compliance processes in the healthcare domain. It involves translating business needs into use cases, designing AI solutions for automation and decision support, collaborating with data science and engineering teams, and establishing evaluation criteria and benchmarks for AI outputs and agent behaviors. The role also emphasizes prompt design, guardrails, and ensuring alignment with responsible AI and regulatory guidelines. | AgentEval Gate | 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 |
| Director, MedTech Surgery Data Analytics & AI Director-level role leading data strategy, analytics, and AI enablement for MedTech Surgery. Focuses on building and leading teams in data engineering, analytics, data product management, and applied AI/ML/GenAI. Key responsibilities include developing a multi-year Data & AI strategy, identifying high-impact use cases (e.g., commercial growth, demand sensing, intelligent service, computer vision for quality, workflow automation), positioning data as a strategic asset, ensuring governance and compliance, leading the AI/ML/GenAI model lifecycle from intake to monitoring, partnering on modern data stack architecture, and building high-performing teams. The role emphasizes turning data into trusted, compliant, and scalable products to improve decision-making and innovation. | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Advanced Analytics Senior Engineer Seeking an Advanced Analytics Senior Engineer to design, develop, and deliver analytics solutions using advanced statistical analysis, data science, and AI-assisted approaches. The role involves working with complex data, applying GenAI and LLM-based methods, developing analytics workflows and AI-enabled solutions, creating visualizations, and collaborating with cross-functional partners to implement AI solutions. The role also supports teams in using AI tools and stays current with emerging technologies. | Agent | 7 |
| Manager- Large Program AI and Data Platforms Manager for Large Program AI and Data Platform overseeing design, development, testing, deployment, and management of enterprise technology AI products and integrated data platforms. Role leads work across multiple product and platform families, with accountability for AI end-user applications and AI-enabled platforms. Ensures alignment between business objectives, AI-ready data maturity, and scalable technology solutions integrated with broader data and AI platforms, driving business outcomes through software engineering, platform governance, and innovation. Focuses on engineering and operationalization of AI-enabled products and decision intelligence solutions, defining platform strategy, and ensuring responsible AI practices and regulatory compliance. | ShipServe | 7 |
| Principle Optimization Engineer This role focuses on designing and delivering optimization and simulation capabilities for complex supply chain problems, incorporating AI/ML techniques like Generative AI and Agentic AI. The engineer will craft algorithms, pilot solutions, and scale them across the enterprise, working closely with data scientists and engineers. The primary deliverable is an agentic system or optimization solution (L4), with a secondary focus on data engineering for these solutions (L0). | 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. 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 |
| 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 |
| 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 |
| 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 |