staying with R, jobs in R

Avneet:
Not to throw a wet blanket on your enthusiam for R (which I share) but ...

-- Bert Gunter
Genentech Non-Clinical Statistics
South San Francisco, CA

"The business of the statistician is to catalyze the scientific learning
process."  - George E. P. Box


 Your better off finding a

job you like
at a company you like and then convincing them that R is
better (not to
mention the R skill set you are bringing to the table).
 Good luck to you.
Roger

Fine advice, but a tad unrealistic. The reality (according to Bert):

1. Most jobs for statisticians are in the pharmaceutical/medical industry
(which includes academic research centers) in clinical trials. Data: See job
ads in Amstat News.

2. For better or worse, in this arena SAS is the standard. You will **not**
-- repeat, NOT -- convince industrial employers who have thousands of lines
of legacy infrastructure code and legions of SAS programmers to change. You
may well make some inroads in academic research venues. In both, you will
generally be free to use whatever software you like for your own work, but
the final code submitted for FDA approval will almost certainly necessarily
be SAS. Rail all you like, but those are the realities.

3. Another significant amployer of statisticians these days is the "finance"
industry (credit scoring and the like). Data: See Amstat News ads again.
There S-Plus is already widely used, so you should have no difficulty using
R and even getting others to adopt it.

I think outside these arenas -- for example, in industrial research and
engineering centers or in pre/non-clinical pharmaceutical work, you'll again
be free to use what you like. But there are relatively few jobs there, so
that despite Roger's noble advice (with which I again agree), first you
gotta eat and pay the mortgage.

And I also say: good luck.

-- Bert

-- Bert Gunter
Genentech Non-Clinical Statistics
South San Francisco, CA

"The business of the statistician is to catalyze the scientific learning
process."  - George E. P. Box