JJT Intern at Johnson & Johnson Innovative Medicine in Telangana, IN

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: Hyderabad, Andhra Pradesh, India

Job Description:

JJT Intern

Location: Hyderabad Duration: 6 Months Job Type: Full-Time Internship

Johnson & Johnson

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 https://www.jnj.com

The Opportunity

We are seeking exceptional graduate-level interns to join our R&D IT team. This highly selective program is designed for candidates from premier academic institutions who have demonstrated tangible success in AI model development. You will work on a high-impact project, collaborating closely with senior researchers and engineers, with the potential for your work to be published or directly integrated into our core product lines.

Key Responsibilities

• Lead Model Development: Take ownership of developing, training, testing, and optimizing sophisticated machine learning and deep learning models (e.g., Generative AI, Computer Vision, NLP, Predictive Analytics).
• Research & Innovation: Conduct independent research on current AI trends, techniques, and emerging technologies, translating state-of-the-art academic findings into practical solutions.
• Data Pipelining: Architect robust data pipelines for large-scale data collection, cleaning, preprocessing, and feature engineering to ensure high-quality inputs for models.
• Performance & Evaluation: Rigorously evaluate model performance using advanced statistical methods and address potential inaccuracies or issues in AI systems.
• Collaboration & Integration: Work within agile, cross-functional teams to integrate AI solutions into production environments, communicating complex technical concepts to both technical and non-technical stakeholders.
• Documentation & Reporting: Maintain meticulous documentation of experiments, methodologies, and results, preparing findings for internal reports and potential external publications.

Required Qualifications

• Academic Excellence: Currently pursuing a Master's or Ph.D. in Computer Science, Applied Mathematics, Data Science, Statistics, or a related technical field from a top-tier educational institution.

• Proven Capability: A strong portfolio (e.g., GitHub, academic papers, project reports) demonstrating hands-on experience in building and deploying AI/ML models with measurable results.

• Deep Technical Expertise:

  • Proficiency in Python is essential, with experience in deep learning frameworks like PyTorch or TensorFlow.
  • Strong background in advanced mathematical and statistical concepts, including linear algebra, calculus, and probability theory.
  • Experience with data manipulation libraries (Pandas, NumPy) and an understanding of MLOps principles.
  • Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

• Research-Minded: A track record of analytical rigor, problem-solving prowess, and an inquisitive nature that drives innovative thinking.

• Communication: Excellent verbal and written communication skills, with the ability to clearly articulate technical findings and collaborate effectively in a team environment.

Benefits

• Competitive compensation and potential for performance bonuses.
• Direct mentorship from industry leaders and Ph.D.-level researchers.
• Opportunity to work on novel, challenging projects with real-world impact.
• Exposure to a collaborative, high-performance culture that rewards imagination and achievement.

To Apply:

Please submit your resume, a cover letter highlighting your academic achievements and specific AI projects, and links to your GitHub profile or research portfolio.

Required Skills:

Preferred Skills: