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Physician-Scientist Workforce (PSW) Report 2014

The Physician-Scientist Workforce Working Group

Acknowledgments

Executive Summary

Table of Contents

Chapter 1: Introduction

Chapter 2: The Physician-Scientist Workforce: Past, Present, & Future

Chapter 3: Physician-Scientists with a Medical Degree

Chapter 4: Nurse-Scientists

Chapter 5: Veterinarian-Scientists

Chapter 6: Dentist-Scientists

Chapter 7: Recommendations

Appendix I: Physician-Scientist Workforce Working Group Subcommittees

Appendix II: Quantitative Analysis Methodology

Appendix III: Data Definitions

Appendix V: Qualitative Research Findings

Skip Navigation LinksHome > Workforce > ACD PSW Report 2014 > Appendix IV: Summary of Quantitative Findings > A5-11

Appendix IV: Physician-scientists Workforce Data

A5-11: Total Number of Individual NIH R01 Awardees with Prior K Only by Degree, Race/Ethnicity and Gender (Fiscal Years 1999 - 2012)

Degree Total 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
MD 404 22 27 25 23 16 18 24 19 27 31 29 23 20 21
PhD 255 * * * 12 14 13 11 19 19 25 25 31 25 25
MD/PhD 193 11 * 11 * 11 11 17 14 15 * 11 16 14 *
Veterinarian * * * 0 0 0 * 0 * 0 * 0 * 0 *
Dentist * 0 * 0 0 0 0 0 0 * 0 * 0 * 0
Other * 0 0 0 * 0 0 0 0 0 0 0 0 0 *
Race/Ethnicity
Asian 184 * * * * * 14 11 * 16 12 20 21 15 20
Black 17 0 * * 0 0 0 * 0 * * * * 0 0
Hispanic 51 * * * * * * * * * * * * * *
Native** * 0 0 0 0 0 0 0 * 0 0 0 0 * 0
White 578 28 37 26 31 31 25 35 36 39 44 40 33 34 29
Gender
Female 280 * 12 12 * 22 16 12 21 19 14 31 28 24 25
Male 585 31 32 28 34 19 27 40 32 43 51 35 43 36 33
Age (6 Age Groups)
30 or less   0 0 0 0 0 0 0 0 0 0 0 0 * 0
31-40   17 23 15 15 11 17 20 * 20 22 21 22 13 21
41-50   14 18 25 26 26 20 30 30 33 25 31 25 26 24
51-60   * * 0 * * * * * * * * * * *
61-70   * 0 0 * 0 0 0 0 0 0 0 * * 0
71+   0 0 0 0 0 0 0 0 0 0 0 0 0 0
MD
Female 119 * * * * * * * * * * 15 11 * *
Male 283 17 17 16 17 * 13 18 12 18 26 14 12 15 15
PhD
Female 114 0 * * * * * * * * * 13 14 12 11
Male 140 * * * * * * * 11 11 16 12 17 13 14
MD/PhD
Female 40 * 0 * 0 * * * * * 0 * * * *
Male 152 * * * * * * 15 * 14 * * 13 * *
Veterinarian
Female * 0 0 0 0 0 0 0 * 0 0 0 0 0 *
Male * * * 0 0 0 * 0 0 0 * 0 * 0 0
Dentist
Female * 0 * 0 0 0 0 0 0 * 0 0 0 * 0
Male * 0 0 0 0 0 0 0 0 0 0 * 0 0 0
MD
30 or less   0 0 0 0 0 0 0 0 0 0 0 0 0 0
31-40   11 15 * * * * * * * * * * * *
41-50   * 11 17 16 11 * 14 12 18 12 14 * * *
51-60   * * 0 0 * * 0 * * * * * * *
61-70   * 0 0 0 0 0 0 0 0 0 0 0 0 0
71+   0 0 0 0 0 0 0 0 0 0 0 0 0 0
PhD
30 or less   0 0 0 0 0 0 0 0 0 0 0 0 * 0
31-40   * * * * * * * * * 13 * 15 * 13
41-50   0 * * * * * * * * * 11 * 11 *
51-60   * * 0 * * 0 * 0 * 0 0 * * 0
61-70   0 0 0 * 0 0 0 0 0 0 0 * * 0
71+   0 0 0 0 0 0 0 0 0 0 0 0 0 0
MD/PhD
30 or less   0 0 0 0 0 0 0 0 0 0 0 0 0 0
31-40   * * * * * * * * * * * * * *
41-50   * * * * * * 11 * * * * * * *
51-60   * 0 0 * 0 * 0 0 0 0 * * * 0
61-70   0 0 0 0 0 0 0 0 0 0 0 0 0 0
71+   0 0 0 0 0 0 0 0 0 0 0 0 0 0
Veterinarian
30 or less   0 0 0 0 0 0 0 0 0 0 0 0 0 0
31-40   * 0 0 0 0 * 0 0 0 * 0 0 0 0
41-50   0 * 0 0 0 0 0 * 0 0 0 0 0 *
51-60   0 * 0 0 0 0 0 0 0 0 0 0 0 0
61-70   0 0 0 0 0 0 0 0 0 0 0 0 0 0
71+   0 0 0 0 0 0 0 0 0 0 0 0 0 0
Dentist
30 or less   0 0 0 0 0 0 0 0 0 0 0 0 0 0
31-40   0 * 0 0 0 0 0 0 * 0 0 0 * 0
41-50   0 0 0 0 0 0 0 0 0 0 * 0 0 0
51-60   0 0 0 0 0 0 0 0 0 0 0 0 0 0
61-70   0 0 0 0 0 0 0 0 0 0 0 0 0 0
71+   0 0 0 0 0 0 0 0 0 0 0 0 0 0
MD
Asian 55 * * * * * * * * * * * * * *
Black * 0 * 0 0 0 0 0 0 * * 0 * 0 0
Hispanic 21 * * 0 * * * * * * * 0 * * *
Native** * 0 0 0 0 0 0 0 * 0 0 0 0 * 0
White 304 17 24 20 19 12 13 17 12 18 24 22 13 13 *
Asian 63 0 * * * * * * * * * * * * *
Black * 0 0 * 0 0 0 0 0 0 0 * * 0 0
Hispanic 20 0 * 0 * * * 0 * * * * * * *
Native** 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
White 154 * * * * * * * 12 14 17 12 15 14 15
MD/PhD
Asian 64 * * * * * * * * * * * * * *
Black * 0 0 0 0 0 0 * 0 0 0 * 0 0 0
Hispanic * 0 0 * * * 0 * 0 * 0 0 * 0 0
Native** 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
White 106 * * * * * * 12 11 * * * * * *
Veterinarian
Asian * 0 0 0 0 0 0 0 0 0 * 0 0 0 0
Black 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Hispanic 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Native** 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
White * * * 0 0 0 * 0 * 0 0 0 * 0 *
Dentist
Asian * 0 0 0 0 0 0 0 0 * 0 0 0 0 0
Black 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Hispanic * 0 0 0 0 0 0 0 0 0 0 0 0 * 0
Native** 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
White * 0 * 0 0 0 0 0 0 0 0 * 0 0 0
Other 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Unavailable 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
MD (Average Age)
Female   43.8 41.6 41.8 42.4 42.2 43.6 40.2 47.6 43 43.2 42.5 47.2 45.2 44.4
Male   42.5 41.5 41.8 41.6 43.6 41.2 41.4 43 42.2 41.9 43.3 45.7 45.6 41.8
PhD (Average Age)
Female     39 43 44.2 46.4 39.8 48.2 42.1 46.9 39.5 42.8 43.7 43.6 40.4
Male   45.8 46.8 42 43.8 34.5 38.7 39.1 41.5 37.6 39.7 41.3 42.1 42.2 39.7
MD/PhD (Average Age)
Female   36   44   44 44.5 39 46.3 42   43.5 49.3 44 43
Male   45.1 39.1 41 41.6 43.4 44.7 43.7 41.5 42.2 41.8 42.6 44.7 43.2 42.3
Veterinarian (Average Age)
Female                 47           48
Male   39 48       35       40        
Dentist (Average Age)
Female     35             39       35  
Male                       42      

*Data suppressed to avoid the disclosure of confidential information. Series with three or more suppressed data points are not displayed on the corresponding graph.
**Native refers to American Indian, Alaska Native, and Native Hawaiian or other Pacific Islanders.

A5-11.1: Total Number of Individual NIH R01 Awardees with Prior K Only: by Gender (FY1999-2012) A5-11.1: Total Number of Individual NIH R01 Awardees with Prior K Only: by Gender (FY1999-2012)
Page Last Updated on June 30, 2018

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