Jobs at Johnson & Johnson

Design and develop robotic technologies, instruments, and orthopedic medical devices. Lead multidisciplinary R&D projects, apply design controls, and support verification, validation, regulatory compliance, design transfer, product launches, complaint investigations, and post-market surveillance. Analyze technologies, resolve nonconformances, drive corrective actions, and collaborate with Regulatory, Quality, Manufacturing, and external partners. Mentor junior engineers, contractors, and interns while contributing to product improvements, technology upgrades, and audits.

Leads technical direction, system architecture, and execution for multidisciplinary robotic joint-replacement solutions. Integrates mechanical, electrical, software, controls, sensors, and actuation systems; guides verification, validation, design controls, DFMEA, manufacturability, and regulatory support. The role coordinates cross-functional teams and external partners, translates customer and business needs into technical requirements, communicates strategy to leadership, supports commercialization, and mentors engineering staff.

Leads the architecture and engineering evolution of J&J MedTech’s global Microsoft Dynamics marketing platform. Defines shared services, APIs, SDKs, developer frameworks, reusable AI agents, interoperability standards, observability, security, and platform operations. Partners with product, business, and AI teams to scale governed AI-driven commercialization capabilities across marketing and related commercial functions. Establishes engineering metrics, standards, and organizational capabilities while leading modernization initiatives and engineering teams in a complex, regulated enterprise environment.

Develops and integrates systems for orthopedic robotic medical devices. Responsibilities include system requirements, risk management, architecture, subsystem coordination, requirements traceability, verification and validation, usability, integration troubleshooting, regulatory submissions, and technical documentation. Collaborates with hardware, software, clinical, and cross-functional teams throughout the product lifecycle in a highly regulated environment.

Conduct research and develop machine learning, generative AI, stochastic simulation, and optimization solutions for clinical trial operations. Build predictive models, optimization engines, LLM workflows, and data pipelines supporting enrollment forecasting, cost optimization, site selection, document processing, and risk management. Validate models, promote responsible AI and data quality, contribute reusable code and documentation, and communicate findings to technical and clinical stakeholders.

Summer intern supporting computer vision and multimodal AI research for medical imaging and video. Responsibilities include interviewing clinical stakeholders, identifying business value, developing and evaluating computer vision models, extracting insights from reports, and communicating technical findings. Work covers modalities including endoscopy, ultrasound, X-rays, dermatology images, retinal OCT, and histopathology.

Leads a global mechanical engineering team developing orthopedic robotic systems. Responsibilities include mechanical architecture, electromechanical design, CAD, design-for-manufacturability, prototyping, verification and validation, risk management, design controls, supplier qualification, manufacturing transfer, budgeting, and cross-functional technical leadership. The role combines people management with hands-on engineering and requires collaboration across systems, software, electronics, clinical, quality, regulatory, supply chain, and manufacturing teams.

Leads data science, AI, digital health, and analytics strategy for Immunology R&D. Partners with scientific, clinical, platform, and engineering teams to identify use cases, analyze workflows, evaluate emerging technologies, develop scalable solutions, and improve research execution and decision-making. The role focuses on healthcare, imaging, clinical, biomarker, real-world, and digital health data, including generative and agentic AI applications.

Leads the strategy, development, deployment, and adoption of generative and agentic AI solutions for Neuroscience R&D. The role translates scientific needs into scalable platforms, establishes evaluation and responsible AI practices, guides multidisciplinary teams, and oversees portfolio investments and outcomes. Responsibilities span clinical, omics, molecular, and imaging data while partnering with scientists, technical teams, and senior stakeholders to deliver scientifically rigorous, reusable AI capabilities.

Leads the design, development, and deployment of Physical AI systems for autonomous laboratory experimentation. Develops world models, adaptive optimization, error diagnosis, scientific agents, robotics integrations, and closed-loop experimentation capabilities. Establishes reliable, safe, governed, and production-ready AI solutions while mentoring colleagues and collaborating with automation, engineering, data science, IT, and drug discovery teams.

Leads the strategy and team developing Physical AI systems for autonomous laboratory experimentation and drug discovery. Builds world models, agentic and multi-agent systems, adaptive optimization, error detection and recovery, and closed-loop learning across laboratory workflows. Partners with robotics, automation, engineering, data science, and scientific teams to deploy reliable, secure, and governed AI systems with uncertainty monitoring and human oversight.

Leads the development and operationalization of governed clinical and multi-omics data products for neuroscience research. Designs scalable data models, optimizes Nextflow pipelines across AWS S3, Snowflake, and TileDB, standardizes assay outputs, embeds FAIR principles and compliance, and delivers AI-ready datasets. Partners with architects, governance teams, AI/ML specialists, and data scientists while mentoring engineers and driving workflow standardization, quality, reproducibility, and pipeline optimization.

Supports Johnson & Johnson MedTech clinical sales initiatives by advising physicians on product techniques, managing customer account cases, analyzing market and consumer trends, and implementing growth, retention, and competitive positioning strategies. This entry-level salaried role operates under close supervision and is eligible for sales incentives and commissions.