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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 Scientist – Data Science (RWE) Principal Scientist - Data Science (RWE) at Johnson & Johnson Innovative Medicine in Madrid, Spain. This role focuses on developing and deploying cutting-edge statistical/machine learning models using Real World Data (RWD) to gain insights into diseases, improve patient outcomes, and enhance clinical development. The position requires a Ph.D. or Master's degree in a quantitative field, extensive experience in statistical modeling or machine learning, and proficiency in Python/R and SQL. The role involves leading projects, collaborating with cross-functional teams, and mentoring junior scientists. | Post-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 |
| 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 |
| Postdoctoral Scientist Data Science AI/ML & DH Postdoctoral Scientist role focused on developing digital biomarkers and AI algorithms for digital endpoint development using wearable sensor data within Johnson & Johnson's healthcare research division. | DataPost-train | 7 |
| Postdoctoral Scientist Data Science AI/ML & DH This role focuses on analyzing data from wearable sensors to develop digital biomarkers and AI algorithms for digital endpoint development and validation within Johnson & Johnson's Innovative Medicine Research & Development. The scientist will process sensor data, extract features, build and enhance AI/time-series models, and create data analysis pipelines, publishing results. | DataPost-train | 7 |
| Post Doc Scientist Data Science AI/ML This role focuses on developing digital biomarkers and AI algorithms for digital endpoint development using wearable sensor data within Johnson & Johnson's healthcare research and development. It involves signal processing, feature extraction, building AI/time-series models, and creating reusable software assets, with a strong emphasis on scientific publication. | DataPost-train | 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 |
| 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 |
| 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 |
| Lead – Data Quality and Automation This role focuses on ensuring the integrity and accuracy of supply chain data within Johnson & Johnson's MedTech division. It involves establishing data quality standards, identifying and investigating data discrepancies, and developing data quality dashboards. A significant part of the role is driving AI and automation initiatives, including RPA and Python scripting, to streamline operations, reduce manual processes, and improve data reliability. The lead will collaborate with cross-functional teams to gather requirements and implement solutions, ultimately aiming to improve operational efficiency and support data-driven decision-making in a healthcare context. | — | 5 |
| Senior Data Scientist - Power BI & AI Senior Data Scientist role focused on building and optimizing Power BI semantic models and analytics solutions, integrating data science outputs, and enabling AI-powered experiences within Microsoft Fabric. This is primarily a BI and analytics engineering role. | — | 5 |
| Global Commercial Analytics Sr Manager This role is for a Global Commercial Analytics Sr Manager at Johnson & Johnson MedTech, focusing on enhancing the analytics and AI experience within the Microsoft Dynamics 365 platform (Project Butterfly). The manager will define analytics strategy and requirements, design data foundations for AI agents and dashboards, and collaborate with regional teams to deliver analytics solutions. A key responsibility is optimizing the AI agent experience to provide meaningful insights and defining the data structures that enable conversational analytics. | AgentServe | 5 |
| Customer Services Digital Capabilities Sr Leader LATAM This role drives the digital transformation of Customer Service in LATAM by building and scaling a digital engine leveraging automation, data, analytics, and AI. The focus is on translating business needs into digital products and solutions, managing a digital backlog, and implementing AI/GenAI and advanced analytics to enable smarter, faster, and more scalable operations. The role acts as a Product and Capability Owner, collaborating across business and technology functions to deliver measurable outcomes. | Agent | 5 |
| Director IM Digital Technology Lead (Finance) This role is responsible for shaping and scaling Finance Data & Analytics (D&A) and AI capabilities for Johnson & Johnson Innovative Medicine Finance globally. The Director will build a best-in-class Finance D&A capability that delivers trusted, governed, and AI-enabled insights, owning technology strategy and platform decisions, and integrating Finance data solutions into the broader J&J enterprise data and technology ecosystem. The role also involves people and capability leadership, building and developing a high-performing captive team in India. | Data | 5 |
| Global Data Product Sr. Manager Product Manager for commercial data products within an AI-powered CXM platform, focusing on strategy, roadmap, and business value. Responsibilities include defining data models, driving adoption, and measuring impact. Requires experience in digital product management and understanding of commercial data domains. | — | 5 |
| Digital & Systems Lead WCH This role leads the digital strategy for the WCH Supply Chain, focusing on implementing and scaling digital transformation initiatives. It involves developing technology roadmaps, identifying projects to improve efficiency and quality, and leveraging emerging digital technologies like AI/ML. The role requires strong leadership and collaboration across global manufacturing sites and functions, with a focus on business acumen in digital technologies and data visualization. | — | 5 |
| Manager – Data Quality and Automation Manager for Data Quality and Automation in J&J's global supply chain. Focuses on ensuring data accuracy and trustworthiness while implementing AI-enabled approaches for efficiency and automation. Responsibilities include defining data quality strategy, establishing standards and KPIs, implementing controls, managing issue resolution, and driving continuous improvement through AI. | — | 5 |
| Sr Product Manager, Knowledge Management The Senior Product Manager, Knowledge Management is responsible for operationalizing Johnson & Johnson’s HR Knowledge Management Strategy by bringing authoritative, AI‑ready HR knowledge to life across prioritized HR use cases. This role translates enterprise standards for HR knowledge into day‑to‑day execution that enables trusted self‑service, consistent decisioning, and scalable AI-powered HR experiences. The role partners closely with HR domain business process owners, Product Management, and other Data & Intelligence teams to ensure HR knowledge is authoritative, findable, current, and reusable across channels, including AI‑enabled workflows. The role is accountable for making the strategy real—implementing tooling, driving adoption, enforcing standards, enabling domain ownership, and ensuring high‑value HR knowledge is eligible for safe reuse at scale. | — | 5 |
| Director, Head of HR Data Services Johnson & Johnson is seeking a Director, Head of HR Data Services to lead the business strategy, product ownership, and value delivery of HR's enterprise data platform. This role involves owning the platform vision, roadmap, prioritization, standards, and outcomes, and leading a team of data product stewards, business platform managers, and data quality functions. The goal is to ensure HR data is trusted, scalable, and analytics-ready, enabling downstream insights, automation, and AI workflows. | — | 5 |
| Manager – Data Quality and Automation Manager for Data Quality and Automation in J&J's global supply chain, focusing on AI implementation and efficiency gains. Ensures data accuracy and trustworthiness, champions AI-enabled approaches, and drives continuous improvement. | Data | 5 |
| Director, Public Affairs This role focuses on leading the execution of integrated public affairs campaigns, with a significant emphasis on designing and implementing AI-enabled workflows and standard operating procedures to improve campaign planning, content development, and reporting. The role requires translating strategy into action and ensuring campaigns are data-driven and measurable. | — | 5 |
| Manager, Stakeholder Intelligence & Engagement Manager role in Public Affairs at Johnson & Johnson, focusing on integrating data-driven stakeholder intelligence into campaign strategy and external engagement. The role will use structured audience insights, including synthetic audience modeling, to inform messaging and optimize campaign efficiency. It involves close partnership with enterprise AI organization for alignment on data use and governance, and integration of insights into content development. Responsibilities include supporting stakeholder intelligence, testing messaging, integrating external data, translating insights into recommendations, and tracking stakeholder response patterns. | — | 5 |
| Senior Manager, Responsible AI Lead This role is a Senior Manager, Responsible AI Lead within HR Data & Intelligence at Johnson & Johnson. The primary focus is to provide advisory leadership, policy interpretation, and oversight for AI and advanced analytics use cases across HR, ensuring alignment with privacy, legal, regulatory, and ethical standards. The role involves partnering with various enterprise teams to translate requirements into practical guidance for AI solution development and operation, and leading Responsible AI reviews and impact assessments. | — | 5 |
| Manager, R&D Data, Data Science & Artificial Intelligence – Immunology Real World Evidence Manager, R&D Data, Data Science & Artificial Intelligence – Immunology Real World Evidence at Johnson & Johnson. This role supports data science and real-world evidence activities for Immunology R&D programs, applying established methodologies to generate insights for clinical development and scientific decision-making. Responsibilities include supporting evidence generation plans, applying data science methods to real-world data, collaborating with cross-functional teams, and contributing to scientific publications. Requires an advanced degree in a quantitative discipline and experience in pharmaceutical R&D or healthcare analytics, with preferred experience in machine learning and predictive modeling. | Data | 5 |
| Director, AI Literacy The Director, AI Ambassador Programme Lead will design, implement, and manage an AI Literacy & Adoption train-the-trainer program. This role will identify, support, and empower internal ambassadors across the organization to promote AI literacy, responsible tool use, and accelerate adoption through a distributed champion network. | — | 5 |
| Product Manager - EMEA Product Manager for AI & Digital Team focused on transforming the supply chain with innovative, scalable AI and digital solutions for Orthopaedics products. This role involves developing product strategy, managing cross-functional teams, and ensuring solutions meet business and quality standards. | — | 5 |