About The Position

This summer internship position will support the business operations of Genmab’s U.S. Commercial organization. The intern will work on special projects and efficiency initiatives focused on data integrity and quality, financial reporting, financial modeling and analytics, as well as CRM and business intelligence capabilities. The role will interface with cross-functional business leaders and provide hands-on exposure to tools such as Tableau, Salesforce CRM Life Sciences Cloud, and ad hoc analytics platforms. The primary objective of the internship is to develop an understanding of the end-to-end business operations of commercialized products in the U.S. market, enabling the intern to gain insight into how data-driven analysis supports investment decisions, market targeting, and evaluation of commercial opportunities.

Requirements

  • Currently pursuing a Bachelor's degree in Business, Finance, Economics, Analytics, or a related field. May 2026 graduates will be considered.
  • Strong analytical skills with the ability to work with data, identify issues, and draw meaningful insights
  • Demonstrated interest in learning the capabilities and operating model of a biotechnology commercial organization
  • Proficiency in Excel
  • Curious, detail-oriented, and eager to learn in a fast-paced, data-driven environment

Nice To Haves

  • Experience in analytics, financial modeling, data analysis, or business intelligence

Responsibilities

  • Gather and document business requirements in partnership with U.S. Commercial stakeholders to support analytics, reporting, and operational initiatives
  • Collect, process, and validate data from CRM, financial, and commercial systems, ensuring high standards of data integrity, quality, and consistency
  • Perform data quality reviews, reconciliation, and validation to ensure analytical accuracy and reliability
  • Develop and support dashboards, reports, and ad hoc analyses using tools such as Tableau and Salesforce Life Sciences Cloud
  • Apply sound analytical methods and maintain clear documentation of assumptions, methodologies, and data sources to ensure analytical rigor
  • Support financial modeling and commercial analyses that inform market targeting, opportunity assessment, and investment decision-making
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