# Career Enhancement Core

> **NIH NIH U54** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2020 · $88,825

## Abstract

Abstract
The overall goal of the Brain Vascular Malformation Consortium's Career Enhancement Core is the
development of clinical/translational investigators who focus on the study of rare diseases. We anticipate
supporting one scholar per year with the goal of training a future leader in rare disease research. The location
of the scholar will rotate among the participating institutions and three main projects. The training of the scholar
will be heavily integrated into the clinical and translational training of the home institution (e.g., the Clinical and
Translational Sciences Institute at UCSF). We will support advanced post-doctoral or clinical fellows (who will
be independent investigators within the next year), junior faculty, or established investigators who wish to
develop or refocus their careers on clinical research in rare diseases. In addition, we will engage students who
are training at the masters and medical school level to encourage career paths in rare disease research. Our
multilevel approach to building the clinical research workforce in rare diseases works at three levels: 1) train
future leaders in rare disease research, 2) build the research infrastructure in rare disease research, and 3)
engage beginning researchers in the excitement of rare disease research.

## Key facts

- **NIH application ID:** 9991941
- **Project number:** 5U54NS065705-12
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** Charles E McCulloch
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $88,825
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9991941

## Citation

> US National Institutes of Health, RePORTER application 9991941, Career Enhancement Core (5U54NS065705-12). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9991941. Licensed CC0.

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