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 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.
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 |
|---|---|---|
| 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 |
| Sr. Director, MedTech Acceleration Office, Global Supply Chain Technology Sr. Director for MedTech Acceleration Office in Global Supply Chain Technology, responsible for shaping growth strategies, modernizing platforms, and delivering digital and AI capabilities for customers and patients in the US, Canada, and LATAM regions. This role involves leading a business-facing technology organization, partnering with senior business leaders, and driving the operationalization of AI/ML and GenAI across various use cases, including commercial, supply chain, service, and R&D-adjacent applications. The focus is on leveraging data and analytics to deliver actionable insights, championing interoperable data platforms, and ensuring compliant technology development. |
| Agent |
| 7 |
| Sr. Director, Medtech Technology Regional Head, Electrophysiology & Neurovascular, Americas Sr. Director, Medtech Technology Regional Head for Electrophysiology & Neurovascular, Americas. This role is a business strategist and product-minded technology leader responsible for shaping growth strategies, modernizing platforms, and delivering digital and AI capabilities for customers and patients. The role involves leading a business-facing technology organization, orchestrating JJT products, platforms, and services, and partnering with senior business leaders to define priorities and deliver outcomes. Key responsibilities include co-creating regional technology strategy, developing technology as a competitive advantage, operationalizing AI/ML and GenAI across various use cases, driving product management, and leading a high-performing team. | ShipAgent | 7 |
| Sr. Director, MedTech Acceleration Office, Global Supply Chain Technology Sr. Director to lead an AI-first, end-to-end delivery model for $2B+ transformation programs within Global Supply Chain Technology. The role focuses on orchestrating workstreams, accelerating delivery, and maximizing business impact from AI and automation, establishing a unified delivery model, embedding AI-first principles, managing the AI automation roadmap, and ensuring enterprise adoption. It involves cross-functional coordination, strategic alignment, risk mitigation, and talent management for AI-ready competencies. | Agent | 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 |
| Associate Director, R&D Data, Data Science and AI - Data Strategy and Products Associate Director role focused on defining and executing a data strategy for AI and knowledge graphs in R&D, specifically for biomedical data. The role involves leading the design, development, and stewardship of semantically rich biomedical data models and knowledge graphs, partnering with data engineering and AI teams to enable discovery and insights generation. The goal is to accelerate research and evidence generation by making data AI-ready and operationalizing capabilities across the product lifecycle. | DataAgent | 7 |
| Associate Director, AI & Advanced Analytics for Patient Engagements Associate Director, AI & Advanced Analytics for Patient Engagements at Johnson & Johnson. This role leads the AI transformation for patient support services, focusing on improving patient solutions and experience through AI and advanced analytics. The individual will be an end-to-end product owner for AI/ML solutions, collaborate with various teams, ensure compliance, identify key problems in the patient journey, evaluate data sets and methodologies, determine solution impact through measurement frameworks and A/B testing, and advocate for AI adoption. Requires 8+ years of experience in healthcare/analytics/data science, a bachelor's degree (master's preferred), experience with healthcare data (claims, EHR, etc.), and a track record of implementing AI initiatives in the pharmaceutical industry. | ShipAgent | 7 |
| Manager, AI Products Manager, AI Products role focused on driving the evolution of business through AI/ML digital products for commercial, medical, and patient engagements, with an initial focus on Omni-channel programs. This role involves translating business needs into advanced analytics solutions, collaborating with various commercial and technical teams, overseeing AI/ML product processes, and applying AI/ML techniques to drive revenue growth and improve the commercial model. Requires experience with large pharmaceutical datasets and translating technical findings for non-technical audiences. | Ship | 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 |
| Sr Manager- Supply Chain AI Products & Platforms Sr. Manager responsible for leading and delivering AI solutions and platforms (ML/Data Science, GenAI, Agents) across multiple AI Technology Products/capabilities within the supply chain. The role supervises the design, development, testing, deployment, and lifecycle management of enterprise technology solutions including AI-enabled platforms. Acts as a strategic bridge between business stakeholders, supply chain functions, enterprise AI leadership, and technology teams to ensure technology solutions are scalable, compliant, and aligned with business outcomes. Will be a Technology Product Owner of an integrated AI platform for Innovative Medicine Supply Chain. | ShipAgent | 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 |
| Product Group Leader – Supply Chain AI Product Group Leader for Supply Chain AI at Johnson & Johnson, responsible for the strategic development, engineering, and operationalization of AI solutions. This role bridges technology and business partners, driving AI innovation, ensuring alignment with business objectives, and orchestrating the delivery of AI initiatives for measurable business value. It involves managing AI project portfolios, budgets, and fostering cross-functional collaboration, while also establishing and evolving AI governance and responsible AI practices. | Ship | 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 |
| PostDoc Neuroscience Computational Biology Postdoctoral Scientist role in neuroscience computational biology at Johnson & Johnson, focusing on analyzing large-scale omics data to understand neuropsychiatric and neurodegenerative disorders using AI-enabled, data-driven drug discovery approaches. Responsibilities include novel target identification, genetics association analysis, proteome-wide multi-task learning, and patient stratification. The role involves developing computational pipelines, analyzing multi-omics data, and publishing findings. | DataPost-train | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Director, R&D Data Science & Digital Health – Ophthalmology Senior Director to lead data science and digital health strategy for ophthalmology, leveraging multiomics, digital health, AI/ML, and RWE to accelerate drug discovery and development. The role involves defining strategy, driving application of multiomics and integrative analytics, leading development of digital tools and endpoints, championing AI/ML for patient stratification and disease modeling, integrating RWE, building collaborations, and managing a team. | AgentData | 7 |