Postdoctoral T32 training is correlated with obtaining an academic primarily research faculty position

Background: The main mission of NIH-sponsored institutional training programs such as the T32 is to provide strong research and career training for early career scientists, while preparing those individuals to become leaders working to meet the health-related research needs of the nation. One of the main avenues to pursue health-related research is becoming research faculty at an academic institution. It is therefore important to know whether these programs are succeeding in this mission, or, if barriers exist that prevent trainees from pursuing these careers.Methods: Our institution currently trains ~ 2400 post-doctoral scholars per year, approximately 5% of whom are enrolled in one of our 33 T32 programs. In this study, we 1) compare the professional outcomes of T32 trainees with non-T32 trainees at our institution, and 2) survey past and current T32 trainees in a subset of high-performing cardiovascular programs about the barriers and enablers they experienced to pursuing research-or..., , , # T32 Career Stages / Stanford School of Medicine

[https://doi.org/10.5061/dryad.70rxwdc0t](https://doi.org/10.5061/dryad.70rxwdc0t)

These datasets  describes five data-files associated with our publication.

## Description of the data and file structure

**OPA Data** (OPA_Data.csv)

Each row represents information for unique former postdoctoral trainees at Stanford University. Note that this data does not represent all former postdocs, but a subset who participated in health-related research. Columns provide information about whether the traine was confirmed to have participated in a T32 program \"T32 Postdocs\" or had no confirmed T32 participation \"Non-T32 Postdocs\", gender, URM status, type of current work, faculty status, and a combined field for traines who became primarily research academic faculty.

Variables:

```
Postdoc_ID: De-identified postdoc ID number
```

```
T32 Status: Non-T32 Postdocs, T32 Postdocs
```

```
Gender: Male, Female, Undefined
```

```
URM Check bio: URM, ..., Our human subject data is de-identified and does not include any personally identifiable information.