TABLE 4.
GST and BCMB trainees’ career paths (PhD, 2003–2016)a
GST | BCMB | |||
---|---|---|---|---|
Position after PhD | First | Secondary | First | Secondary |
Type of position | ||||
Postdoctoral research | 59 | 50 | ||
No postdoctoral position | 17 | 11 | ||
Type of science | ||||
Experimental biology (wet-lab) | 25 | 9 | 49† | 21† |
Computational science (dry-lab) | 30† | 12† | 4 | 1 |
Hybrid (wet- and dry-lab) | 19† | 8† | 1 | 1 |
Instruction or management | 0 | 9 | 6† | 8 |
Other or science-unrelated | 3 | 1 | 5 | 0 |
Sector | ||||
Academia, primarily teaching | 0 | 4 | 4† | 8 |
Academia, primarily research | 45 | 11 | 45 | 14 |
Industry, hospitals, R&D | 11 | 17 | 4 | 7 |
Governmental science | 18† | 5 | 6 | 2 |
Other (finance, healthcare, etc.) | 2 | 2 | 2 | 0 |
Geographic location | ||||
United States | 72 | 35 | 61 | 26 |
Overseas | 4 | 4 | 2 | 5 |
Total | 76 | 39 | 65 | 31 |
aThis table summarizes data from GST for all except one of its 77 PhD alumni between 2003 and 2016, half of whom graduated between 2012 and 2016. Numbers of master’s graduates are too small to discern trends. The secondary position is usually the current position; in cases in which the current position could not be ascertained, it is the most recent position. The secondary position is usually the second position, but for alumni who changed jobs again, it may be a later position (less than 10% of alumni). The table also summarizes data from BCMB’s 65 PhD alumni; of these, 4 had incomplete information. Figures that are significantly elevated as compared with the other program (Fisher’s exact test with p < 0.05) are marked in bold and with a dagger (†).