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Continuing Education


For Faculty and Trainees

  • UNC Lineberger Investigator-Initiated Trials Website
    • Learn about resources that UNC Lineberger Cancer Center provides to PIs for Investigator-Initiated Trials (IITs), including processes, writing your protocols, and your responsibilities as an IND holder, and steps required to begin patient enrollment.
  • The Channing Der Annual Career Symposium will feature three guest speakers of different career paths. Save the date: May 1, 2024 from 1:00 PM-4:00 PM. Location TBD.

Grant Writing Resources

ASCO webinar series on grant writing. Webinar recordings will be added to the list below as they are made available.


UNC Lineberger Science Writing Support – Drop-In Hours

Dr. Mary Lee MacKichan, science writer/reviewer for UNC Lineberger, will be hosting Zoom drop-in hours to provide support for scientific writing and extramural grant review.

Use this link to book appointments during Dr. MacKichan’s drop-in hours or schedule a one-on-one help session (30-60 mins) via Zoom.

If you have any questions, please contact Mary_Lee_MacKichan@med.unc.edu.


Free Membership for UNC researchers – Association for Clinical and Translational Science (ACTS)

The Association for Clinical and Translational Science (ACTS) is a conduit for networking, development, and discussion in the field of translational sciences.

As UNC-Chapel Hill’s CTSA Hub, TraCS supports the annual membership fee for Carolina to maintain an institutional membership to ACTS. Faculty and staff can take advantage of a diverse scientific community of more than 5,000 clinical and translational research professionals.

Go to tracs.unc.edu/index.php/news-articles/2007-acts-membership for membership information & to create an account.


NCI Data Science Training Resources

The NCI Center for Biomedical Informatics and Information Technology developed data science training resources available through the NCI Cancer Data Science website. The new section is tailored specifically for PIs and trainees trying to understand the basics of data science in cancer research including the: