[R] staying with R, jobs in R

[Weiwei Shi]

Hi, there:
Could I ask another question, which is a little bit off-topic; but I
tried hard and did not get good enough info... so please help

I am very interested in seeing where to find those
bio/pharmaceutical-related industries, using R and data mining as
approaches?

thank you very much!

weiwei

On 8/29/05, Berton Gunter <gunter.berton at gene.com> wrote:
> 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
> 
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-- 
Weiwei Shi, Ph.D

"Did you always know?"
"No, I did not. But I believed..."
---Matrix III