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 |
|---|---|---|
| Sr. Principal Scientist, Spatial Omics Senior Principal Scientist role focused on applying and developing AI/ML frameworks for multimodal biological datasets, including spatial omics, genomics, transcriptomics, proteomics, and metabolomics. The role involves designing and building ML-based and agent-based models to simulate biological dynamics, integrating mechanistic models with AI, and contributing to the data and modeling architecture for large-scale ML training. The position emphasizes scientific leadership and innovation in computational biology for therapeutic discovery. | DataAgent | 9 |
| Senior Scientist, Data Science - DDSAI - Preclinical Sciences & Translational Safety (PSTS) Seeking a Senior Scientist, Data Science to leverage advanced machine learning and data engineering techniques within the Pharmaceutical Sciences & Translational Safety (PSTS) organization. The role involves creating AI-ready datasets, developing predictive models for safety signal detection and dose selection, and delivering analytical solutions to support improved safety evaluations and translational research in a healthcare R&D setting. |
| DataPost-train |
| 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 |
| 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 |
| Postdoctoral Scholar Computational Chemistry This role focuses on developing and employing quantum chemical simulations and machine learning workflows to advance the development of small molecule medicines and therapies. The primary focus is on estimating synthetic outcomes and assessing chemical degradation pathways in silico, with a secondary focus on developing and validating ML components for reaction outcome estimations. | DataPost-train | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| [Innovative Medicine] R&D, Sr. Scientist Biostatistics, Statistics & Decision Sciences Japan, Global Development The Senior Scientist, Biostatistics will support the design and execution of studies and experiments for Clinical Development and Medical Affairs programs at J&J Innovative Medicines. This role involves statistical analysis, interpretation, and reporting of data evidence, collaborating with Quantitative Sciences & Clinical Pharmacology functions. The position supports statistical aspects of business and regulatory commitments, assists program plans, and represents Statistics & Decision Sciences in various teams. The role requires proficiency in data analytics, statistical principles, R, SAS, and familiarity with AI/ML tools, applying advanced statistical techniques, and optimizing study designs. | Data | 5 |
| [Innovative Medicine] R&D, Scientist Biostatistics, Statistics & Decision Sciences Japan, Global Development Scientist supporting the design and execution of studies and experiments for Clinical Development and Medical Affairs programs, with evolving supervision. Activities require guidance from managers and project statisticians. Support is provided to statistical analysis, interpretation, and reporting or communication of data evidence towards programs for research, development, and/or marketed product needs. Collaborates with Quantitative Sciences & Clinical Pharmacology functions and other drug development scientists. Supports statistical aspects of key business and regulatory commitments and assists program plans. | Data | 5 |
| Manager, Redeployment Analytics Manager, Redeployment Analytics will lead analytical and decision-support capabilities for effective allocation and redeployment of global orthopedic assets. This role involves developing analytical models, scenario planning, and prioritization frameworks to assess incoming redeployment supply and align it with high-value commercial opportunities. It also owns the S&OE sub-process for redeployment prioritization and allocation, and plays a key role in developing scalable analytical and AI-enabled capabilities for the long-term evolution of the global redeployment operating model. | Data | 5 |
| Senior Manager Data Products – Therapeutic Area (TA) The Senior Manager Data Products – TA is responsible for shaping and delivering user-centric data products that enable advanced analytics, data science, and AI/ML capabilities across a Therapeutic Area. This role translates scientific and data science needs into scalable, reusable, and AI-ready data products, ensuring they are fit-for-purpose, semantically consistent, interoperable, and aligned with enterprise standards to accelerate discovery, evidence generation, and regulatory readiness. The role involves leading product delivery, driving data integration, contributing to ontologies and metadata, collaborating with cross-functional teams, and providing leadership to product owners and data engineers. | Data | 5 |
| Director, Data Products - EMEA Leads the strategy and delivery of Med Tech Supply Chain data products that form the foundation of the organization’s Digital Brain—transforming raw data into trusted, business-ready, and AI-enabled assets. This role is accountable for building and scaling high-quality, reusable data products and semantic models that power analytics, enable AI, and drive fact-based decision-making across MedTech Supply Chain and enterprise functions. | DataAgent | 5 |
| Director, Data Products - US Director of Data Products leading the strategy and delivery of Med Tech Supply Chain data products, transforming raw data into trusted, business-ready, and AI-enabled assets. This role focuses on building and scaling high-quality, reusable data products and semantic models that power analytics, enable AI, and drive fact-based decision-making. | DataAgent | 5 |
| Junior IT Engineer Motivated Junior IT Engineer to support optimization of IT processes across Manufacturing, Labs, and Logistics services. The role focuses on enabling planning for technology lifecycle by leveraging existing data in data lakes and AI/ML toolkits on J&J platforms. This is an entry-level role for someone with strong data fundamentals, practical scripting skills, and an interest in applying AI to operational IT challenges. | Data | 5 |
| Post Doc - Cardiac Safety NAMs Postdoctoral role focused on developing an integrated, regulatory-aligned cardiac safety assessment pipeline by combining scalable models with advanced AI/ML-enabled approaches. The role involves designing and executing experiments using new approach methodologies (NAMs) and generating data to support cardiac safety strategies, with a focus on scientific insight, interpretation, and communication. | Data | 5 |
| Principal Data Scientist - Oncology The Principal Data Scientist - Oncology will standardize and connect biomedical and clinical data using semantic technologies, ontology, and graph data modeling to power analytics, search, and AI across Johnson and Johnson Innovative Medicine. This role involves building a scalable knowledge graph infrastructure, curating ontologies, developing ingestion pipelines, and enabling NLP/RAG over graphs. | DataAgent | 5 |
| TPM- AI Ready Data Solutions Technology Product Manager (TPM) responsible for defining, benchmarking, and advancing the AI readiness of data assets. This role owns the AI-Ready Data technology capability as a product, including technical components of AI readiness standards, assessing current-state readiness, and delivering a roadmap of solutions to enable analytics, AI, and GenAI products at scale. The role leads a small team and partners with various stakeholders to ensure data is trustworthy, secure, and fit for autonomous decision-making. | Data | 5 |
| Senior Manager Post-Market Surveillance Senior Manager responsible for ensuring post-market surveillance processes are compliant and effective, with a focus on complaint trending, signal detection, data management, and data analysis. This role leads a team of data scientists to develop and advance data-analysis methods, including AI capabilities, for MedTech post-market surveillance and vigilance teams. The role also involves interpreting regulatory requirements, providing governance for procedures and systems, and managing stakeholders. | Data | 5 |
| Lead-Data Automation and Excellence Lead Data Automation and Excellence role at Johnson & Johnson, responsible for leading a technology squad in the plan, design, build, and operation of AI-ready data assets. This role involves hands-on technical leadership, driving automation of data curation using AI agents, setting engineering standards, and ensuring alignment with enterprise architecture. The role requires deep data engineering expertise, architectural judgment, mentoring capabilities, and modern AI for Data management experience, including prompt engineering, LLMs, and GenAI concepts. | Data | 5 |
| Lead-Data Automation and Excellence Lead Data Automation and Excellence role responsible for leading a technology squad in the plan, design, monitor, build, and operation of high-quality, scalable, and AI-ready data assets. This role provides hands-on technical leadership, drives automation of curating using AI agents for data management, sets engineering standards, and ensures alignment with enterprise architecture. It combines deep data engineering expertise with architectural judgment, mentoring capability, and modern AI for Data management experience. | Data | 5 |
| Assoc Director, HEMA Analytics and RWE Associate Director for Health Economics and Market Access (HEMA) Analytics and Real-World Evidence (RWE) at Johnson & Johnson. The role involves developing and maintaining analytics infrastructure, conducting advanced statistical analyses (including predictive modeling), building data pipelines, and designing/executing RWE studies using various healthcare data sources. The position requires expertise in statistical software (SAS, R, Python), SQL, data visualization, and knowledge of US healthcare systems and reimbursement structures. The role also involves cross-functional collaboration, external vendor management, and ensuring compliance with regulatory standards like HIPAA. | Data | 5 |
| Director Data Platforms Director of Data Platforms for Johnson & Johnson's MedTech division, focusing on building and scaling an enterprise-grade, cloud-native data platform (Lakehouse/data mesh). The role involves simplifying legacy systems, enhancing data quality and governance, and embedding AI/automation across the data lifecycle to accelerate insights and reduce manual effort. Key responsibilities include defining the roadmap, scaling data-as-a-product, maturing metadata capabilities, implementing self-service access, leading federated governance, owning MDM strategy, and building a distributed team. Requires extensive experience in regulated industries, cloud platforms, modern data architectures, federated governance, and embedding AI/ML into platform operations. | Data | 5 |
| Brand Protection Analitycs Co-Op The Brand Protection Analytics Co-Op will collaborate with data engineers, visualization experts, and data scientists to analyze risks and threats, utilizing machine learning and AI techniques. The position involves creating analytics-based reports and presentations to effectively communicate data-driven stories. The role will support AI tool development by collecting and preparing training data, documenting functional and data requirements, and executing user acceptance testing (UAT). | DataAgent | 5 |
| Knowledge Graph Engineer, R&D Data Science & Digital Health - Data Strategy and Products Johnson & Johnson Innovative Medicine is seeking a Knowledge Graph Engineer to standardize and connect biomedical and clinical data. The role involves designing and implementing knowledge graph infrastructure, curating ontologies, applying graph data modeling, and developing services for data ingestion and retrieval. The engineer will partner with teams to enable NLP/RAG over graphs and features for predictive modeling, and work with IT/DevOps for infrastructure deployment and management. Experience with semantic web technologies, graph databases, and biomedical datasets is required. | DataAgent | 5 |
| Director, R&D Data Science, MDM Products Johnson & Johnson is seeking a Director, R&D Data Science, MDM Products to establish and govern an end-to-end mastering capability for product-related data across the R&D to Commercial continuum. This role will leverage ontologies and knowledge graphs to ensure product data is trusted, harmonized, and semantically consistent, transforming it into an AI-ready asset for advanced analytics, regulatory compliance, and global interoperability. | Data | 5 |
| Director, Omics Director of Omics role at Johnson & Johnson, leading a lab that spans wet-lab assay development (genomics, transcriptomics) and dry-lab computational/bioinformatics. The role focuses on building and evolving genomics strategy, establishing end-to-end pipelines for target discovery and mode of action understanding, and delivering multi-omics integration. Responsibilities include leading the development of various omics assays, owning the compute strategy and building high-throughput pipelines for data acquisition and analysis, and partnering to deliver biological interpretation using ML models and statistical methods. The role also involves people leadership, stakeholder management, and budget oversight. | DataAgent | 5 |
| Principal Scientist, Data Science – R&D DSDH - Therapeutics Development & Supply (TDS) The Principal Scientist, Data Science – R&D DSDH role at Johnson & Johnson focuses on designing, building, and optimizing data capture, processing, and storage solutions to enable advanced analytics, digital process transformation, and AI/ML applications within the Therapeutics Development & Supply (TDS) continuum. This involves creating AI-ready data pipelines and data products, managing diverse data sources, and ensuring data quality and compliance for scientific, technical, and operational decision-making in a healthcare R&D environment. | Data | 5 |
| Principal Scientist, Data Science – R&D DSDH - Therapeutics Development & Supply (TDS) Johnson & Johnson Innovative Medicine is seeking a Principal Scientist, Data Science – Data Engineer to design, build, and optimize data capture, processing, and storage solutions for advanced analytics, digital process transformation, and AI/ML applications within the Therapeutics Development & Supply (TDS) continuum. The role involves creating robust data pipelines and repositories, ensuring data is AI-ready, and partnering with data scientists and domain experts to deliver high-quality data products. Responsibilities include data acquisition, integration, management, quality implementation, and adherence to software development best practices in a regulated environment. | Data | 5 |
| Sr. Director, SC Technology, Manufacturing & Quality, Orthopedics This role provides enterprise leadership for Supply Chain, Manufacturing, and Quality technology across DePuy Synthes, a global leader in Orthopaedics. The Sr. Director is responsible for defining and executing the digital strategy that enables reliable product supply, compliant manufacturing, and strong quality outcomes at scale. The role involves leading the application of AI, advanced analytics, and automation to modernize supply chain platforms, improve forecasting and planning, and ensure regulatory compliance. It requires experience in IT/digital leadership within regulated industries and managing large-scale global technology programs. | Data | 5 |
| Sr. Director, SC Technology, Planning & Logistics, Orthopedics Senior Director role leading supply chain technology, planning, and logistics for DePuy Synthes, focusing on defining and executing technology strategy, driving modernization through AI, advanced analytics, and automation, and ensuring compliance in a regulated environment. | Data | 5 |
| Technology Product Manager - Cheminformatics and Machine Learning Johnson & Johnson Innovative Medicine is seeking a Technical Product Manager for Cheminformatics and Machine Learning to support lead discovery and optimization in small molecule research. This role involves shaping enterprise-wide discovery informatics platforms, defining scientific IT requirements, and managing the deployment of AI/ML models for molecular invention. The candidate will work with business partners, research teams, and vendors to deliver complex projects and modernize chemistry-centric decision-making. | Data | 5 |
| Principal Scientist - R&D DSDH Ontology Developer TDS Therapeutics Development & Supply (TDS) The Principal Scientist - R&D DSDH Ontology Developer will design, build, and govern semantic frameworks (ontologies, controlled vocabularies) to unify data across the Therapeutics Development & Supply (TDS) lifecycle. This role translates scientific and operational concepts into structured models enabling interoperability, analytics, and AI/ML applications. Responsibilities include ontology module development, governance, and integration with data products and AI/ML workflows, requiring expertise in semantic technologies and graph databases. | Data | 5 |
| Principal Scientist - R&D DSDH Ontology Developer TDS Therapeutics Development & Supply (TDS) The Principal Scientist - R&D DSDH Ontology Developer will design, build, and govern semantic frameworks (ontologies, controlled vocabularies) to unify data across the Therapeutics Development & Supply (TDS) lifecycle. This role involves translating scientific and operational concepts into structured models to enable interoperability, analytics, automation, and AI/ML applications, with a focus on data modeling in life sciences and manufacturing domains. | Data | 5 |
| Director, Clinical Translational Safety Lead Director, Clinical Translational Safety Lead role at Johnson & Johnson focuses on guiding the strategy for mechanistic derisking and understanding of safety signals in pre-clinical and clinical development. The role involves building partnerships with various teams, providing expert interpretation of clinical safety data, and establishing a translational safety assessment framework. A key responsibility includes contributing expertise to support the development of advanced in vitro models and integrated AI/ML foundational models, aiming to improve the safety profiles of future therapies by translating clinical insights back into discovery and preclinical models. | Data | 5 |
| Lead, Data Platform Engineer Lead Data Platform Engineer at Johnson & Johnson, responsible for designing, building, and maintaining scalable data platform technologies that support AI, ML, GenAI, and data science teams in pharmaceutical R&D. This role involves shaping platform strategy, developing data pipelines using tools like Snowflake/Databricks, Airflow, DBT, and Streamsets, and ensuring data accuracy and performance. | Data | 5 |