# Institutional Career Development Core

> **NIH NIH KL2** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2020 · $1,382,859

## Abstract

The Michigan Institute for Clinical & Health Research (MICHR) recognizes the need for a highly-skilled, diverse
workforce that can conduct impactful clinical and translational research that improves health. Since the
inception of MICHR, the development of a diverse translational workforce has been a consistent priority. The
“crown jewel” of our efforts has been the KL2 program, which has attracted and developed exceptional
scholars. Since the inception of MICHR, KL2 scholars (n=36) have published >1,000 peer-reviewed
publications (median=21) and received >$155M in grant support as principal investigators (>$4 million per
scholar). Importantly, 97% of all KL2 graduates have remained in clinical and translational research and
85% of the 2006-2011 cohorts have been successfully promoted. We now propose to improve this program
with enhanced leadership skills through a new Career Development Academy, career development tracking
with electronic portfolios, formal mentorship training for KL2 mentors and scholars, expanded internship and
externship opportunities, and a stronger network of support as our KL2 scholars transition to independence.
MICHR’s goal is the creation of greater positive impact through training and mentoring a new generation of
KL2 scholars.

## Key facts

- **NIH application ID:** 9875341
- **Project number:** 5KL2TR002241-04
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** VICKI L ELLINGROD
- **Activity code:** KL2 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,382,859
- **Award type:** 5
- **Project period:** 2017-06-01 → 2022-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9875341

## Citation

> US National Institutes of Health, RePORTER application 9875341, Institutional Career Development Core (5KL2TR002241-04). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9875341. Licensed CC0.

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