Senior Scientist role focused on developing and delivering AI/ML scientific applications in Immunology R&D, specifically working with LLMs and advanced data science techniques to accelerate drug discovery. Key focus areas include multimodal reasoning, agent robustness, memory architectures, and uncertainty quantification. The role involves hands-on technical delivery, translating business opportunities into research plans, and contributing to the broader AI strategy.

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 Director, Head of Data Science Services for HR at Johnson & Johnson. This role leads the enterprise HR data science strategy, focusing on building predictive, diagnostic, and prescriptive models, and industrializing insights. It involves owning the employee listening strategy, knowledge management, and ensuring responsible AI practices, including exploring generative AI and LLMs. The role requires leading a global team and partnering with various stakeholders to embed AI into HR products and workflows.

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 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, enhance clinical trial execution, and develop digital biomarkers and endpoints. The role involves advanced statistical modeling, RWE integration, and collaboration with cross-functional teams and external partners. The primary output is a patient-centric AI-driven product/solution for ophthalmic diseases.

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.

Postdoctoral researcher to develop evaluation frameworks, rubrics, and quality systems for generative AI agents used in clinical operations and global development workflows. The role involves defining quality dimensions, designing human evaluation protocols, building benchmark datasets, and partnering with AI engineering teams in a regulated pharmaceutical environment.

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.

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.

The Principal Data Scientist will build and apply advanced Machine Learning (ML) and Data Engineering solutions to accelerate scientific innovation in drug discovery. This role involves developing ML/AI models for target prioritization, multi-omics integration, and mechanistic inference, applying modern ML approaches to diverse datasets, and building robust data pipelines. The scientist will collaborate with discovery teams to translate experimental data into actionable insights and deploy models into production R&D environments.

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.

Design Leader for a surgical data & AI platform (Polyphonic AI Lab) at Johnson & Johnson MedTech. This role will define and design the user experience and interface for a platform that manages multimodal surgical data and enables the development, deployment, and scaling of ML/AI models in regulated healthcare environments. The leader will partner with product management, engineers, data scientists, and clinicians to drive the platform's vision, roadmap, and delivery, focusing on human-centered design and integrating with a design system for AI/ML tooling.

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.

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.

Associate Director, AI Next Frontiers for Patient Engagements at Johnson & Johnson Innovative Medicine. This role leads the AI transformation and execution roadmap for patient support services, focusing on elevating patient solutions and experience through strategic AI application for fulfillment and adherence. Responsibilities include product ownership of AI/ML solutions, stakeholder management, compliance, identifying patient journey problems, evaluating data sets and methodologies, determining solution impact via measurement frameworks and A/B testing, and advocating for AI adoption.

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.

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.

Seeking a Principal Data Scientist to design, build, validate, and deliver applied AI/ML and statistical modeling solutions for Drug Product Development & Supply (DPDS), focusing on Therapeutics Development & Supply (TDS). The role involves partnering with various teams to create practical, high-impact models supporting CMC development, pharmaceutical product development, dossier preparation, technical development, and clinical supply. Responsibilities include hands-on model development, feature engineering, diagnostics, error analysis, uncertainty assessment, developing reusable workflows using Python and cloud services, applying software engineering best practices, and providing technical guidance.

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.

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.

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.

Associate Director to lead enterprise-aligned AI governance for Data Science & Digital Health in R&D, focusing on implementing high-quality, compliant, and scalable governance practices for AI/ML and GenAI systems, ensuring safe and responsible development and deployment. This role involves partnering with Quality, Legal, Regulatory Affairs, and IT to streamline processes, embed AI safety, and align with strategic priorities.

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.

Director, Analytics role focused on building and scaling AI-infused analytics capabilities to drive fact-based decision-making and business impact within the MedTech Supply Chain Digital & Data organization. The role involves defining analytics strategy, leading the development of scalable analytics solutions (dashboards, advanced analytics, AI-enabled insight products), partnering with business leaders, driving adoption, ensuring governance, transforming analytics capabilities, and leading high-performing teams.

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.

Manager, AI Advanced Analytics role at Johnson & Johnson, supporting the commercial organization's Customer AI Product Strategy (CAPS) group. This role focuses on driving advanced analytics, including AI/ML, for the Neuroscience commercial franchise to solve complex unmet needs, influence decision-making, and drive revenue growth. Responsibilities include developing analytical solutions, managing stakeholder relationships, acting as an internal consultant, collaborating with vendors, assisting with budget and project management, and managing story development and presentation of analytical solutions. The role also involves building and managing promotion response models.

Associate Director, Commercial AI & Advanced Analytics role at Johnson & Johnson, focusing on leading AI-driven initiatives for Cardiovascular and Metabolics business development. The role involves strategic application of AI and advanced analytics across commercial, medical, and patient domains, shaping decision-making, engagement, and outcomes. Responsibilities include serving as product owner, managing stakeholder partnerships, leading opportunity identification, driving use-case evaluation, establishing measurement frameworks, and acting as a change leader. Requires experience in healthcare data integration, AI/ML techniques, and delivering AI initiatives in the pharmaceutical industry.

Associate Director, Commercial AI & Advanced Analytics role focused on leading AI-driven initiatives for the Immunology therapeutic area within Johnson & Johnson's Innovative Medicine division. The role involves serving as a product owner for AI/ML solutions, shaping customer and patient engagement roadmaps, identifying opportunities for AI interventions, and improving predictive/prescriptive capabilities in the commercial domain (sales, marketing, patient teams). Requires experience integrating healthcare data and delivering AI initiatives in the pharmaceutical industry.

This role focuses on developing and evaluating AI/ML models for drug metabolite prediction, pharmacokinetics, and molecular properties within a healthcare/drug discovery context. It involves fundamental research using internal datasets, developing explainable AI tools with uncertainty estimation and active learning, and publishing findings. The role is primarily research-oriented, building and evaluating deep learning methods for analytical instrumentation and drug discovery processes.

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.

This internship focuses on building production-minded analytics and AI solutions within Johnson & Johnson's Global Finance Data Science team. The intern will contribute to the entire solution lifecycle, from problem framing to deployment and adoption, developing statistical/ML models for financial forecasting, engineering features, designing AI-enabled process improvements including Generative AI use cases, building automation workflows, and creating interactive dashboards. The role emphasizes applying engineering discipline and supporting governance for deployed solutions.

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.

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.

Director of MedTech Technology AI/DS Platforms, Innovation at Johnson & Johnson. This role focuses on building, delivering, and operationalizing a secure, compliant, and scalable AI platform and AI product ecosystem for MedTech business units. It involves developing core AI/ML and Generative AI capabilities, ensuring alignment with healthcare regulations, and leading a distributed team. The role operates in a federated model, providing reusable capabilities and governance while business units own use cases.

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.