Johnson & Johnson

Internship role focused on developing, training, and optimizing ML/DL models (Generative AI, Computer Vision, NLP, Predictive Analytics) within the healthcare domain. Responsibilities include research, data pipelining, model evaluation, and integration into production environments. Requires Master's/Ph.D. in a technical field, strong Python/PyTorch/TensorFlow skills, and a portfolio demonstrating AI/ML model building.

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 Senior Scientist to develop autonomous AI agent systems for drug discovery and development, focusing on multimodal reasoning, agent robustness, memory, and motivation using LLMs and large datasets.

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 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 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.

Postdoctoral researcher focused on applying and refining deep learning algorithms for microscopic image analysis in histopathology, aiming to improve drug discovery and clinical trial efficacy. The role involves developing innovative computer vision solutions, collaborating with cross-functional teams, and contributing to scientific publications.

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.

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.

Postdoctoral researcher to join the Video Understanding team, focusing on designing, implementing, and evaluating state-of-the-art AI/ML methods for frame-level and video-level understanding across diverse medical modalities. The role involves developing robust uncertainty models and multi-modal architectures to extract reliable insights from clinical data, collaborating with clinicians and engineers to translate algorithms into high-impact tools for clinical trial efficacy and workflows.

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.

Postdoctoral researcher focused on developing and validating AI/ML solutions for digital health, with expertise in speech analysis and NLP, to extract insights from multimodal data.

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.

Senior Scientist role focused on developing and implementing AI and computer vision solutions for biomedical imaging in drug discovery and healthcare. Requires expertise in various computer vision techniques, machine learning models, and programming languages, with a focus on deploying these solutions in production environments.

Senior Scientist role focused on computational biology and AI/ML model development for therapeutic discovery, specifically an AI-powered siRNA design and off-target prediction framework. Requires expertise in omics data analysis, AI/ML, and pipeline development.

Senior Scientist role focused on applying advanced computational models and AI/ML to integrate multi-modal perturbation data and human omics datasets for target/pathway nomination in therapeutic discovery for immune-mediated diseases. The role involves developing predictive frameworks, identifying target combinations, and performing in silico target deconvolution to inform portfolio decisions. Requires expertise in AI/ML for biological datasets, prediction modeling, phenotype scoring, and multi-omics integration.

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.

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.

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.

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.

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.

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.

Seeking a Principal Data Scientist to design, build, validate, and deliver applied AI/ML and statistical modeling solutions for Drug Product Development & Supply (DPDS) within Johnson & Johnson Innovative Medicine. The role involves hands-on model development, translating scientific questions into modeling problems, and ensuring model robustness and actionability. It also requires applying software engineering best practices, collaborating with cross-functional teams, and providing technical guidance. Experience in pharmaceutical development or a related quantitative field is preferred.

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.