2024 CBIIT Summer Internship Program Accepting Applications

Person sitting facing a white board with a graduation cap, filled with stylized icons including charts, magnifying glass, gears, and data. Text reads, "Applications for the Summer 2024 CBIIT Internship Program are Now Open."

Are you an undergraduate student or know one who wants to gain valuable experience in data sharing, data aggregation, and data analysis? If so, NCI’s Center for Biomedical Informatics and Information Technology (CBIIT) invites you to participate in the NIH Summer Internship Program in Biomedical Research (SIP).

Apply by February 16, 2024, at 12:00 p.m., ET, through the NIH SIP website.

This program’s core objective is to give 4–8 highly-qualified college students studying computer science, information management, business administration, or other related fields a 10–16-week paid internship opportunity. As an intern, you’ll work and collaborate with experts to understand how CBIIT supports NCI by using data to drive discovery.

Applicants for this program must:

  • be a U.S. citizen or permanent resident, living in the United States.
  • be currently enrolled in a full-time college or university with cancer-related research interests.
  • be in good academic standing with a GPA of 3.0 or higher.
  • be able to pass a Federal Background Check using Standard Form-85.
  • have a record of leadership experience in their school or community.
  • submit an application (with the program name, “NCI Center for Biomedical Informatics and Information Technology” in the cover letter) through the Office of Intramural Training and Education.
  • submit a letter of interest and CV to Please contact Dr. Shannon Silkensen or any CBIIT staff member for questions or to learn more about CBIIT.

Check out the descriptions below to learn more about specific roles and responsibilities for supporting CBIIT.

  • Informatics and Data Science Program (IDS)
    • Support the IDS program:
      • Empower the cancer research community by gaining essential insight into high-value data science gaps and opportunities; this will provide a roadmap for the cancer research community and NCI staff to develop the data science tools required for advancing cancer research
    • Support the Computational Genomics and Bioinformatics Branch:
      • Create a predictive model for lung cancer prognosis by analyzing a large data set of TCGA and APOLLO transcriptomics data
    • Support the Clinical and Translational Research Informatics Branch:
      • Evaluate the readiness of U.S. institutions to incorporate Real-World Data into their clinical and research operations
  • Office of the Chief Information Officer
    • Support the Data Management and Analysis Program:
      • Develop streamlined metadata transformation workflows aimed at enhancing data sharing efficiency
      • Develop AI-based classifiers specifically designed for digital pathology images
      • Create user-facing analysis tools for both imaging and transcriptomics
      • Utilize large language models to extract predefined data elements from unstructured clinical documents
    • Support the NCI Cybersecurity Branch:
      • Mature NCI’s Continuous Monitoring Program through the enhancement and/or development of an enterprise-wide Continuous Monitoring Plan in alignment with federal requirements
      • Create and provide a training on “Continuous Monitoring for System Owners” as well as any necessary communications for the NCI Federal Information Security Management Act (FISMA) community
      • Develop a roadmap for NCI to transition to a risk-based approach for On-Going Authorization for its FISMA systems, leveraging risk scores from an NIH system (if available)
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