Commercial Data Science & AI Co-op

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Career Programs Job Sub Function: Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Raritan, New Jersey, United States of America Job Description: About MedTech Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, and more personalized solutions to improve patient outcomes around the world. At Johnson & Johnson MedTech, we combine data, analytics, artificial intelligence, automation, and deep commercial expertise to enable better decision-making, improve productivity, and drive meaningful business impact. Job Description This position has allocated resources for relocation support. We are searching for the best talent for a Data Science, Generative AI & Intelligent Automation Co-Op within the Digital & Commercial Innovation organization.  We are looking for a motivated, analytical, and technically curious co-op to help design, develop, and scale solutions spanning predictive analytics, enterprise generative AI, conversational intelligence, and intelligent process automation. The role will support real-world commercial and operational challenges by turning data and knowledge into actionable insights, AI-enabled experiences, and more efficient digital workflows.  The successful candidate will work directly on applied innovation initiatives while collaborating with data scientists, AI architects, commercial stakeholders, subject matter experts, and technology teams. Projects may include predictive business intelligence, knowledge-grounded AI assistants, agentic workflows, AI-enabled content classification, and automation solutions that reduce manual effort and improve decision-making.  Key Responsibilities  Support the design and development of predictive analytics, generative AI, and intelligent automation solutions that improve commercial decision-making, customer engagement, and employee productivity.  Analyze commercial, sales, marketing, e-commerce, healthcare, and operational datasets to identify trends, opportunities, risks, and actionable insights.  Develop and evaluate machine learning models, large language model applications, retrieval-augmented generation solutions, conversational experiences, and agentic workflows.  Build knowledge retrieval, prompt, and evaluation frameworks that integrate structured and unstructured business information and improve response quality.  Identify opportunities to automate manual processes involving reporting, approvals, customer support, data management, and recurring business activities.  Develop workflows and digital tools using Python, SQL, low-code automation technologies, cloud platforms, and business intelligence tools.  Create dashboards, applications, visualizations, reports, and demonstrations that translate analytical outputs into clear business recommendations.  Evaluate model performance, data quality, feature stability, solution reliability, adoption, and analytical integrity across deployed solutions.  Assist with solution testing, deployment, documentation, maintenance, and scaling across product platforms and business domains.  Collaborate with stakeholders to gather requirements, translate business challenges into technical solutions, and communicate findings to business and technology audiences.  Participate in AI governance, responsible AI practices, continuous improvement, and business value measurement.  Qualifications Education  We are seeking recent graduates, as well as candidates currently pursuing a Master's, or PhD degree in one of the following fields: Data Science Computer Science Artificial Intelligence Statistics Analytics Mathematics Engineering or Software Engineering Information Systems or Business Analytics Biomedical Informatics Health Data Science Other related quantitative disciplines Required Skills  Technical Foundation   Python programming  SQL and data manipulation  Machine learning fundamentals  Statistical analysis and model evaluation  Solution Development   Data visualization and storytelling  Experience working with large datasets  Software development fundamentals or workflow design  Analytical & Business Skills   Strong analytical thinking and problem-solving  Ability to translate business needs into technical solutions  Strong written and verbal communication skills  Collaboration   Ability to learn new technologies quickly  Comfort working across business and technical teams  Preferred Skills  Generative AI, large language models, prompt engineering, or retrieval-augmented generation  Agentic AI frameworks, vector databases, LangChain, or similar technologies  Microsoft Power Automate, Copilot Studio, or workflow orchestration tools  Databricks, Azure OpenAI, Mosaic AI, or other cloud computing platforms  Power BI, Tableau, Streamlit, or application development frameworks  Predictive modeling, time-series analysis, natural language processing, or text classification  API development and integration  Explainable AI, responsible AI, AI governance, or model evaluation tech