-: We are a diverse group in our organization
so very heavy on analytics.
If you think about most of our individuals
have a graduate degree or professional degree
of one form or another.
There's a small subset that don't but most of them do.
Typically it's in an area of either data analytics
or it's in a clinical area or both.
In some cases we actually have individuals who have
both types of training so it's epidemiology,
health economics, biostatistics,
or it's clinical medicine like physicians,
pharmacists, nurses.
In those cases that we have individuals that come out
that are one of those disciplines or another,
but actually the ones that are probably the most impactful
are those that have what we have hybrid knowledge,
so maybe a clinician that actually went back
and got an analytic degree
and also may have an MD but went back
and got a PhD in epidemiology.
That hybrid knowledge, especially if they have experience
as a clinician and then move into research,
is extraordinarily powerful.
I'd like to say it's grades, but it's not.
It's really not that.
It's much more about the things that they've been
involved in, most of the time related to what the field is.
If they've done internships or they have other experience
that could give them a deeper insight,
or they've done research
while they're in their educational program,
that often gives us a degree of confidence
that they actually understand how to apply the education
to solving problems specifically,
so experience speaks volumes for us.
I would imagine that working in a collaborative fashion
in research, so if you've to work as part of a research team
in your training in college,
I think that would be ...
Any opportunity you have to do that
and then reflect that not only in your resume
but also as you're interviewing,
talk about not only what you did but who you did it with.