> These are not good assumptions. 80% of pediatricians are women. Why would a hospital expect to hire 50% male pediatricians when only 20% of pediatricians are men? If you saw a hospital that had 50% male pediatricians, that means they're hiring male pediatricians at 4x the rate of women. That's pretty strong evidence that female candidates aren't being given equal employment opportunity.
We track these, but don't establish guardrails on that fine grained of data.
In your example, it would be balanced by a likely over-representation in urology by male doctors. But when looking at doctors overall, the demographics tend to balance out, with the understanding that various factors may affect specific practices.
To give you a more solid answer, in our data we see that men are a bit overrepresented in our platform engineering roles, while women are within our data science and ML roles.
General backend/frontend roles are fairly balanced. Overall engineering metrics roughly fit out guardrails. We look at the same for management, leadership, sales, and customer support.
I don't have direct data on the recruitment -> interview process on hand. I work on the interviewing side though, and can tell you anecdotally that I've run dozens of interviews and overall haven't noticed a discrepancy in the candidates I've seen. I can also say that of those dozens, I think I've only advanced 2 candidates to the hiring committee. So we seem to err on sending a candidate to interview vs trying to prematurely prune the pool down.