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2026 Novartis Summer Internship – Insight Decision Science: AI & Innovation

Novartis
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We shape the future of AI in Novartis US by defining and delivering an integrated strategy that bridges technological possibility with business need. In close collaboration with all US Commercial Functions, we provide end-to-end innovation capabilities—from concept to human-centered design, prototyping, data science, development, and partnerships. We accelerate time to value through rapid experimentation, cutting-edge reusable AI capabilities, enterprise-wide learning, and a seamless development process, routed in clear Responsible AI principles

Expectations

The AI & Innovation intern will support our Insight Decision Science function by exploring, prototyping, and building AI solutions that enhance decision-making across the commercial domain. You will collaborate with data engineers, data scientists, product leaders, and business stakeholders to develop and experiment with GenAI and LLM-based applications to unlock new insights.

This internship is ideal for a student who is passionate about AI engineering, eager to learn, and interested in the healthcare and life science industries.

Anticipated Projects

  • Assist in the design, prototyping, and development of LLM-based and GenAI applications to support internal stakeholders.
  • Collaborate with the AI & Innovation team to explore use cases in US Commercial, such as knowledge retrieval, context engineering, decision support, and workflow automation.
  • Help evaluate and experiment with different AI models, tools, and frameworks under the guidance of experienced AI engineers.
  • Support data preparation, agent builds, prompt design, and model evaluation to improve the performance and reliability of AI solutions.
  • Contribute to documentation, including design specifications, technical notes, and end-user guides.
  • Present findings, prototypes, and progress updates to the AI & Innovation team and relevant business partners.

Minimum Requirements 

  • Currently pursuing a degree in a relevant field, such as Computer Engineering, Computer Science, Management Information Systems, or a closely related discipline.

 

  • Demonstrated interest in Generative AI (GenAI) Engineering, particularly in healthcare or the pharmaceutical industry (e.g., coursework, projects, research, or hackathons).
  • Strong Python and SQL programming skills and familiarity with modern software development practices.
  • Excellent written and verbal communication skills, including the ability to clearly explain technical concepts to non-technical audiences.
  • Ability to prototype and build LLM applications, leveraging APIs, SDKs, or relevant frameworks.
  • Positive attitude, strong interpersonal skills, and a collaborative mindset.
  • Willingness to learn from experienced professionals and contribute to a culture of innovation and continuous improvement.

 

Preferred Competencies/Experiences

 

  • Familiarity with major cloud platforms (e.g., AWS, GCP) and their AI/ML services.
  • Experience with common AI/ML or GenAI libraries and tools (e.g., MCP, A2A, RAG, PyTorch, TensorFlow, LangChain, LangGraph, Vector Databases).
  • Understanding of basic data handling, including data cleaning, transformation, and simple analytics.
  • Prior exposure to healthcare or pharmaceutical datasets, workflows, or regulations (e.g., through academic projects or internships).

Please note that this internship is a fixed-term engagement and does not constitute an offer of employment from Novartis.  Magnit, an external Managed Service Provider, will facilitate the hiring and management for this role.