~~~Please note: This is a temporary contractor opportunity at Novartis ~~~
Novartis touches the lives of a tenth of the world’s population. Every role here, regardless of contract type, makes an impact on human life!
Novartis US partners with external managed service provider Magnit Global to offer engaging temporary contractor opportunities like this, to those who are looking for flexibility in their career while looking to gain new skills and experiences providing services to an inclusive global medicines company. Click here to learn more about Magnit www.magnitglobal.com
Ready to work with/through Magnit at Novartis? Please read on...
2026 IDS Intern – Business Performance
Graduation: Dec 2026-May 2027 Level: Pursuing a master's degree
Job Summary
The Business Performance (BP) team is seeking a highly motivated Graduate Summer Intern to support next generation commercial analytics leveraging AI. The intern will contribute to building governed AI agents, assembling GenBI ready datasets, advancing efforts to transforming the performance vigilance ecosystem, and enabling data driven decision making in close collaboration with Data Platforms and AI & Governance teams.
Key Responsibilities
• Assemble, clean, and structure GenBI ready datasets for prioritized brands.
• Develop and validate a BP conversational agent in Microsoft Copilot.
• Support prompt testing, agent evaluation cycles, and UAT scoring (accuracy, completeness, reliability).
• Collaborate with Data Platforms and AI & Governance teams to ensure compliance with access policies, data governance, and classification requirements.
• Document workflows, dataset specifications, prompt libraries, and evaluation criteria.
• Contribute to adoption and performance measurement of BP AI agent usage, supporting metrics such as time savings, usage scale, repeat interactions, and decision impact quality.
Required Qualifications
• Pursuing a Master’s degree in Data Science, Computer Science, Analytics, Information Systems, or related quantitative field.
• Proficiency in Python and SQL for data manipulation and transformation.
• Familiarity with LLM/agent workflows, prompt engineering, and evaluation methodologies.
• Strong analytical thinking, problem solving, and documentation abilities.
• Effective communication skills with the ability to partner across technical and business teams.
Preferred Qualifications
• Experience with commercial pharma datasets (e.g., claims, field activity, CRM/targeting outputs).
• Familiarity with Power BI (data modeling, DAX/measures) and modern data platforms such as DataIKU or Databricks.
• 2–3 years prior experience in analytics, data engineering, or commercial operations.
• Interest in scaling GenAI tools and conversational interfaces to real business workflows.
What the Intern Will Gain
• Exposure to commercial data platforms, performance vigilance, and IDS operational frameworks.
• Hands on experience building a production scale GenAI use case for the business.
• Opportunity to influence next generation Business Performance measurement tools and decision support processes.
• Mentorship from commercial analytics leaders..
Location: East Hanover, NJ (Onsite)
Pay Rate: (W2 Only - based on Education and Experience)
Masters $35.00/hour
Contract: 2-month
Health, dental, vision, 401k
Why Novartis:
Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accommodation:
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to Magnit at [email protected].
