# Administrative Core

> **NIH NIH P20** · LSU HEALTH SCIENCES CENTER · 2020 · $667,762

## Abstract

Abstract: The Administrative Core (AC) will support Program Directors of the Center for Translational Viral
Oncology (CTVO) by providing overall planning and coordination of the mentoring and research activities,
managing the day-to-day operation, fostering interdisciplinary interaction and coordinating the evaluation
processes. This will ensure an appropriate career development of the promising junior investigators (PJIs) who
have a strong interest translating into the clinic their most important findings in the hope of offering
opportunities for the prevention and/or treatment of virus-associated cancers. The AC is designed specifically
to facilitate each of these crucial components through the following specific aims: Aim 1: Provide leadership
and administrative structure for coordinating thematic research across the participating institutions, coordinate
peer review from external advisors, and integrate the Center within units dedicated to research, patient care,
teaching, and community engagement. Aim 2: Develop a critical mass of scientists by implementing and
evaluating mentoring plans for the PJIs, and supporting their career development and advancement within the
Center as well as their academic departments. Aim 3: Promote the development and sustainability of core
facilities, provide grants management expertise, and support regulatory compliance.
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## Key facts

- **NIH application ID:** 9937775
- **Project number:** 5P20GM121288-04
- **Recipient organization:** LSU HEALTH SCIENCES CENTER
- **Principal Investigator:** Krzysztof Reiss
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $667,762
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9937775

## Citation

> US National Institutes of Health, RePORTER application 9937775, Administrative Core (5P20GM121288-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9937775. Licensed CC0.

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