Seeking a Scientific Fellow to lead AI safety initiatives within R&D Data Science & Digital Health. This role focuses on embedding safety, robustness, and observability into advanced AI systems, including foundation models, generative AI, and agentic systems, across discovery, development, clinical, and regulatory workflows. The position involves hands-on technical leadership, research, policy influence, and external engagement to ensure AI systems are safe, trustworthy, and fit-for-purpose in a regulated healthcare environment.

Seeking a highly technical leader in AI safety for R&D Data Science & Digital Health. This role is responsible for embedding AI safety, robustness, and observability into the design, evaluation, and deployment of advanced AI systems across the DSDH portfolio and R&D use cases, including foundation models, generative AI, and autonomous agentic systems. The role involves shaping strategy, conducting research, providing technical guidance in regulated environments, influencing policy, and driving external publications.

Senior Scientist role focused on developing and delivering AI/ML scientific applications for oncology drug discovery and development. The role involves working with LLMs, multimodal reasoning, agent memory architectures, and uncertainty quantification to accelerate research. Key responsibilities include hands-on technical delivery, prototyping, evaluation, and defining best practices for AI applications.

Senior Manager, AI Solutions Lead at Johnson & Johnson, responsible for building and scaling production-grade full-stack GenAI solutions with a focus on backend systems, data, and AI/ML engineering. The role involves co-owning problem discovery with business leaders, leading end-to-end delivery of GenAI/ML products, setting engineering standards, and driving platform thinking. Key responsibilities include developing agentic GenAI applications, implementing LLMOps, ensuring enterprise standards for quality and compliance, and providing hands-on leadership across the SDLC.

Director of AI Fabric and Data Platforms responsible for leading the enterprise AI Services and Data Foundation capability, ensuring scalable, secure, and high-impact delivery of end-to-end AI services. Owns the full lifecycle of AI services and leads the evolution of a unified 'AI Agent Factory' platform to produce reusable AI agents that automate business workflows. Also responsible for Data Platforms strategy and execution.

Senior Director, Global Data Science (Oncology) to lead the data and AI strategy for Johnson & Johnson Innovative Medicine’s Global Oncology portfolio. This role is responsible for shaping how advanced analytics, real-world data, and AI are applied to drive critical business decisions across oncology assets, from early pipeline through global launch and in-market optimization. The role will drive the application of Engagement.AI for Launch and Medical, lead the AI transformation of Oncology-focused GCSO teams, and manage a high-performing team.

Associate Director role focused on leveraging AI/ML, computer vision, and generative AI with multimodal data (ophthalmic imaging, clinical, RWE) to accelerate drug discovery and development in ophthalmology, identify digital biomarkers, and stratify patients. The role involves developing and validating digital endpoints and integrating RWE, with a strong emphasis on collaboration and regulatory engagement.

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.

Senior Director to define and execute an AI-first, product-centric data strategy for Innovative Medicine in EMEA, leading end-to-end data, advanced analytics, and AI capabilities, ensuring responsible and high-impact deployment at scale. This includes defining the roadmap, leading ML/AI/Generative AI solutions, ensuring explainability and compliance in regulated environments, building data ecosystems, and leading cross-functional teams.

Associate Director role focused on leveraging multimodal data, digital health, computer vision, AI, and RWE to accelerate drug discovery and development in ophthalmology. The role involves developing and applying advanced AI/ML methods, particularly computer vision for ophthalmic imaging, creating digital endpoints, integrating RWE, and applying generative AI to multimodal datasets for disease understanding and patient stratification.

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.

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.

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.

Director-level role leading data strategy, analytics, and AI enablement for MedTech Surgery. The role involves building and leading a team responsible for data engineering, analytics, data product management, and applied AI/ML/GenAI. Key responsibilities include co-creating a multi-year Data & AI strategy, positioning data as a strategic asset, ensuring governance and compliance, leading the AI/ML/GenAI lifecycle from pilot to scale, partnering on modern data architecture, and developing high-performing teams. The role focuses on turning data into trusted, compliant, and scalable products to improve decision-making and innovation.

Lead, Technology Product Management - AI, Data & Insights role blends technical product ownership with hands-on engineering leadership, focusing on the delivery of scalable AI and GenAI solutions that transform commercial pharma operations. This position will serve as an IT Product Line Lead with strong technical skills, delivering high-impact analytics products and solutions that address the evolving needs of the Business. The Lead will collaborate with IT peers, External Vendors, Data Aggregator Partners, Business Product Owners, Technology Services, and Finance teams. The person will apply Enterprise technology and development capabilities to deliver solutions that rapidly meet business needs, optimize flow, and enhance our ability to deliver quality products and solutions with greater speed, more agility and measurable business impact. The ideal candidate will be a technically proficient product leader with direct experience architecting and building AI/GenAI capabilities, including LLMs, AI agents, and cloud-native data platforms. This role demands fluency in artificial intelligence, data engineering, and cloud technologies, and the ability to translate business needs into impactful, production-grade solutions. The Lead will be accountable for technical delivery and value realization in partnership with the Business Product Lead.

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.

Director role focused on leveraging AI/ML, computer vision, and digital health technologies to accelerate drug discovery and development in ophthalmology. This involves analyzing multimodal data, developing digital endpoints, integrating real-world evidence, and applying generative AI for insights. The role emphasizes collaboration with cross-functional teams and external partners to enhance clinical trial execution and patient care.

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.

Associate Director, AI Next Frontier role at Johnson & Johnson focused on leading end-to-end AI product development using Generative AI and Agentic AI for Marketing, Patient, and Commercial Operations within the US Pharmaceutical organization. The role involves translating business needs into AI solutions, driving cross-functional collaboration, and ensuring alignment with regulatory standards.

The Senior Manager, Regional Head of Technology MedTech EP-CNV EMEA is a business strategist and product-minded technology leader responsible for partnering with regional MedTech leadership to shape growth strategies, modernize platforms, and deliver digital and AI capabilities. This role leads a business-facing technology organization, orchestrating JJT products, platforms, and services to maximize value and quality for the MedTech portfolio. 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 team of technology leaders. The role also involves managing the regional technology budget and ensuring compliance.

Regional Head of Technology for MedTech EP-CNV in Germany, responsible for shaping growth strategies, modernizing platforms, and delivering digital and AI capabilities. This role acts as a bridge between business strategy and technology execution, leading a business-facing technology organization to maximize value from JJT products, platforms, and services. Key responsibilities include co-creating regional technology strategy, developing technology as a competitive advantage, partnering with senior business leaders, operationalizing AI/ML and GenAI across various use cases (commercial, supply chain, service, R&D-adjacent), driving product management, leading a team, and managing the regional technology budget while ensuring compliance.

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.

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.

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.

Director, Regional Head of Technology for Electrophysiology and NeuroVascular (EP-CNV) in EMEA, responsible for shaping growth strategies, modernizing platforms, and delivering digital and AI capabilities. This role involves leading a business-facing technology organization, partnering with regional leadership, and driving the adoption of AI/ML and GenAI across commercial, supply chain, service, and R&D-adjacent use cases. The focus is on using data and analytics to deliver insights and operationalizing AI for competitive advantage, while ensuring compliant technology solutions.

The Associate Director, US CRM AI Lead will define and own the AI strategy and roadmap for Customer Relationship Management (CRM) within Johnson & Johnson's Innovative Medicine division. This role focuses on transforming CRM into an intelligent, agentic system of engagement by integrating AI-driven automation and insights into core business processes like customer engagement, call planning, and territory planning. The lead will partner with technology, commercial, and compliance teams to identify improvements, measure ROI of AI capabilities, and ensure AI readiness in CRM implementations, particularly within regulated workflows. Experience with AI tools and integrating AI into commercial workflows is essential.

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.

Senior Data Scientist role focused on building and operationalizing predictive and prescriptive models for intelligent HR workflows at global scale. The role involves creating model-driven solutions for both humans and machines, embedding intelligence into products and processes, and ensuring models are deployed, monitored, and continuously improved in production. Emphasis on responsible AI, explainability, and integrating models into automated or augmented decision workflows.

This role leads the strategy and execution of enterprise AI initiatives for pharmaceutical commercialization, focusing on marketing, patient support, and commercial operations. It involves developing AI Digital Assistants and Intelligent Orchestration capabilities to improve field productivity and customer engagement, ensuring scaled, measurable business impact and adoption.

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.

Seeking a Principal Data Scientist to design, build, and scale AI/ML, simulation, forecasting, optimization, decision intelligence, and digital twin capabilities for Drug Product Development & Supply (DPDS), focusing on Therapeutics Development & Supply (TDS). The role involves translating complex processes into computational models, applying various quantitative methods, and developing robust analytical workflows using Python and cloud services, adhering to software engineering best practices. The individual will lead technical work, mentor junior colleagues, and partner with stakeholders to embed solutions into business planning and decision workflows.

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.

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.

Director, Regional Head of Technology for MedTech Electrophysiology and Neurovascular in APAC. This role is a business strategist and product-minded technology leader responsible for shaping growth strategies, modernizing platforms, and delivering digital and AI capabilities. The role will lead a business-facing technology organization, orchestrating JJT products, platforms, and services. Key responsibilities include co-creating regional technology strategy, developing technology as a competitive advantage, serving as a strategic technology partner to senior leaders, and driving compliant technology. A significant focus is on operationalizing AI/ML and GenAI across various use cases (commercial, supply chain, service, R&D-adjacent) and leveraging data and analytics. The role also involves product management, portfolio ownership, and leading a team of product, engineering, data, and delivery leaders.

Associate Director, Product Management for AI-enabled products in healthcare R&D, focusing on regulatory workflows, decision support, and document management using generative AI, RAG, and agentic systems.

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.

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.

Technology Product Manager (TPM) responsible for shaping and delivering analytics and AI products for the IM Supply Chain Plan function, including End-to-End Control Tower and Digital and AI solutions. Owns technology product strategy, architecture alignment, and delivery, partnering with Business Product Owners. Leads cross-functional squads and ensures solutions are scalable, governed, and aligned with enterprise data platforms and AI architecture.

Senior Manager, AI Enablement role at Johnson & Johnson Innovative Medicine Technology, focusing on the safe, scalable adoption of AI, including generative and agentic AI, for North America commercial teams. The role acts as a bridge between business stakeholders and AI platform/delivery teams, translating business priorities into AI solutions, managing governance, ensuring responsible AI practices, and driving adoption and scale. Requires strong product management, design thinking, and experience with GenAI/LLM production deployments.

Director, Technology Product Group Leader – Submission Excellence at Johnson & Johnson, responsible for leading the development, engineering, and operationalization of AI and data solutions to accelerate regulatory submissions. The role involves leveraging generative AI, designing AI technologies for workflow streamlining, leading the creation of AI-ready data packages, and managing AI product lifecycles, including governance and architecture decisions, with a focus on measurable business value and adoption.

The Sr. Manager, MedTech Technology Surgery, North Asia is a business strategist and product-minded technology leader responsible for shaping growth strategies, modernizing platforms, and delivering differentiated digital and AI capabilities for customers and patients in the North Asia region. This role involves leading a business-facing technology organization, orchestrating JJT products, platforms, and services, and serving as a strategic technology partner to senior business leaders. 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 team of product, engineering, data, and delivery leaders. The role also involves managing the regional technology budget and ensuring compliance with quality, cybersecurity, privacy, and regulatory standards.

Senior Manager role focused on shaping growth strategies, modernizing platforms, and delivering digital and AI capabilities for the MedTech Surgery business in Southeast Asia and India. The role involves leading a business-facing technology organization, partnering with senior leaders, and operationalizing AI/ML and GenAI across various use cases, grounded in data governance and security. It also emphasizes driving a product management approach and developing compliant technology.

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.

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.

This role is a business-facing technology leader responsible for shaping growth strategies, modernizing platforms, and delivering digital and AI capabilities for the MedTech Electrophysiology & Neurovascular business in LATAM. The role involves operationalizing AI/ML and GenAI across various use cases, leveraging data and analytics, and driving product management for high-impact solutions, with a focus on enabling competitive advantage and compliant technology.

Director, MedTech Technology Surgery Regional Head, LATAM, responsible for shaping growth strategies, modernizing platforms, and delivering digital and AI capabilities for customers and patients in the LATAM region. This role involves operationalizing AI/ML and GenAI across various use cases, leveraging data and analytics, and driving product management for the MedTech portfolio, with a focus on strategy, delivery, and leadership within a regulated healthcare environment.

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.

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.