Johnson & Johnson is hiring an AI Research & Development Graduate Intern for its cutting-edge R&D organization, offering an excellent opportunity for graduate students passionate about AI, data science and healthcare innovation. This AI R&D Graduate Internship is based in Hyderabad, India, and is designed to give hands-on experience in real-world healthcare problems using modern machine learning and data-driven approaches.
Job Details
| Company | Johnson & Johnson |
| Job Role | AI Research & Development Graduate Intern |
| Location | Hyderabad, Telangana, India |
| Experience | Graduate-level |
| Salary | Not disclosed |
| Employment Type | Full-time internship (approx. 10–12 weeks) |
| Last Date to Apply | Apply as early as possible |
About The Company
Johnson & Johnson is one of the world’s largest and most diversified healthcare companies, operating across pharmaceuticals, medtech, and consumer health to improve health outcomes globally. The company invests heavily in AI-driven research and development, using advanced analytics, generative AI and machine learning to accelerate drug discovery, clinical development and patient care solutions.
Eligibility Criteria
Education: Currently pursuing a Master’s or PhD in:
Computer Science, Data Science, Applied Mathematics, Statistics or closely related quantitative field
Strong academic record as per J&J internship standards (typically minimum GPA equivalent to 3.0 or above)
Technical Skills:
Solid foundation in:
- Machine Learning and Deep Learning
Experience or familiarity with:
- Large Language Models or sequence models
- Predictive/generative modeling, experimentation and model evaluation
Additional Skills:
- Passion for applying AI to healthcare, medicine and R&D innovation
Experience (Preferred):
- Prior research or project experience in AI/ML, data science or related domains
- Internship or academic research exposure in healthcare, life sciences or pharma (preferred but not mandatory)
Roles & Responsibilities
As an AI Research & Development Graduate Intern at Johnson & Johnson, you will support AI-driven projects within R&D, contributing to models, experiments and analyses that can impact patient outcomes and internal decision-making. Typical responsibilities may include:
- Supporting AI/ML research for healthcare and R&D problems such as:
- Implementing and evaluating machine learning models using modern toolkits and frameworks
- Collaborating with data scientists, domain experts and R&D teams to understand problems and translate them into modelable tasks
- Preparing clean, well-documented code, experiments and basic technical reports or presentations for internal stakeholders
- Contributing to innovation by exploring new algorithms, techniques and AI approaches relevant to Johnson & Johnson’s R&D portfolio
Selection Process
Johnson & Johnson typically follows a structured process for AI Research & Development Graduate Intern roles. While exact steps may vary, you can expect:
- Online application screening based on eligibility, academics and skills
- Shortlisting based on resume, projects and alignment with AI/R&D focus areas
- One or more interview rounds, which may include:
- Final offer and onboarding details shared via email and the official careers portal
How to Apply For
- Visit the official careers page: Click Here to Apply
- Register/Login with your details.
- Fill in the application form and upload your resume.
- Submit before Application Deadline.
Please submit your resume, a cover letter highlighting your academic achievements and specific AI projects, and links to your GitHub profile or research portfolio.
Preparation Tips
- Strengthen Core AI/ML
- Build/Showcase Projects
- Understand Johnson & Johnson and Healthcare AI
Important Dates
| Application Start Date | Dec, 04th, 2025 |
| Last Date to Apply | Not disclosed |
| Exam/Interview Date | As per official communication after shortlisting |
Use the official Johnson & Johnson careers link to confirm the latest information on AI Research & Development Graduate Intern 2025, including any updates on eligibility, dates, and selection steps before applying.






