Table 1.
Demographics of study datasets: OPA Data, CV T32 Program Data, and CV T32 Survey Data.
Fig 1.
Proximal career trajectories of T32 and non-T32 postdoctoral trainees.
A: The proportion of trainees identified as holding either faculty or non-faculty positions for two populations: T32 Postdocs (N = 248) and Non-T32 Postdocs (N = 2021). B: The proportion of trainees who identified as holding either primarily research faculty positions or any other position for T32 Postdocs (N = 248) and Non-T32 Postdocs (N = 2021). * indicates significance at p < 0.05 level. C: Among trainees who identified as underrepresented minorities, the proportion of trainees who identified as holding either primarily research faculty positions or any other position for two populations: trainees with T32 Postdocs (N = 32) or Non-T32 Postdocs (N = 207). Data in panels A, B and C are from the OPA dataset. All = all postdoctoral trainees in the OPA dataset; URM = underrepresented minority postdoctoral trainees in the OPA dataset.
Fig 2.
Distribution of T32 program trainees across different career sectors.
Trainee data is categorized by their previous training background (MD, MD/PhD, PhD). Data from CV T32 Data, N = 81 T32 trainees.
Fig 3.
Ranking of barriers and enablers to pursuing careers in academia.
Respondents could select any number of barriers or enablers and were then asked to rank them from 1st (1, most significant barriers) to last. Barriers are listed in the upper panel, enablers in the lower panel. The size of the circles in this figure indicates the number of respondents who gave a specific barrier or enabler a specific rank. Data from CV T32 Survey, N = 49 survey responses.