School of Medicine and Health Sciences Phase 2 and Phase 3 MD Scheduling Software

The University of North Dakota (UND) is seeking a vendor to provide specialized scheduling software for the School of Medicine and Health Sciences, specifically targeting Phase 2 (Clerkship) and Phase 3 (Elective) MD student lottery management. The procurement, identified by solicitation number 466-2026, requires vendors to submit proposals through UND's Sourcing Portal (Jaggaer) at https://bids.sciquest.com/apps/Router/PublicEvent?CustomerOrg=UND. The procurement is being conducted pursuant to North Dakota Century Code 54-44.4-13 and targets approved bidders on the North Dakota State Bidders List. Interested vendors must follow specific submission instructions, with new suppliers required to contact procurement officer Samuel Kontz at (701) 777-3881 or samuel.kontz@und.edu to receive login credentials. The solicitation was officially posted on October 1, 2025, with proposals due by November 12, 2025. The primary objective is to acquire technology that supports academic scheduling processes for medical students, specifically for managing clerkship and elective course lottery assignments.

While specific set-aside designations are not explicitly detailed in the provided documentation, the solicitation appears open to qualified technology vendors capable of providing specialized scheduling software. The procurement is geographically situated in Burleigh County, North Dakota, and is specifically targeting a technology solution for the UND School of Medicine and Health Sciences. No incumbent vendor information or current contract details were provided in the documentation. Potential bidders should be prepared to demonstrate technical capabilities in developing educational scheduling systems that can efficiently manage student course assignments. Although a specific budget range was not disclosed, the procurement suggests a targeted technology acquisition for a specialized academic scheduling platform. Vendors will need to show technical proficiency, understanding of medical education scheduling complexities, and ability to integrate with existing UND technological infrastructure.