QSAR - Looking for Informatics "Scientist" with biology Applications - any ideas?

Hi - I'm looking for some help, again. I am a recruiter with Management
Recruiters, and I am working with a San Francisco based drug discovery
company that is looking for a BS-MS level Informatics Research Scientist
with Biology Applications experience.

I am hoping you might know someone who may be interested. Candidates
already living in the Bay Area are preferred, but the company will assist in
relocation. They have an excellent base salary, benefits, and will sponsor
H1B TRANSFERS (sorry they will not initiate sponsorships. Interested
candidates must currently reside in the USA).

They are NOT looking for someone with bioinformatics experience (BLAST etc),
but rather someone who has had some lab experience and experience using
IDBS's ActivityBase.

This person will assist biologists in Drug Discovery in analyzing assay
data, storing it in databases, and then retrieving the data to create
reports. There is a lot of customer support involved in the job, so a
cooperative nature, excellent communication skills and strong inter-personal
skills are valuable.

They are looking for someone with a BS or MS in Biology or Pharmacology.
Practical lab experience is preferred. Experience with one or more than one
of the following is preferred: IDBS ActivityBase, Open Text Livelink,
Spotfire, MDL ISIS, MDL Assay Explorer, Accelrys RS3 or accord.
Programming: SQL, VBA, HTML, UNIX.

Please forward this to anyone you feel might be interested - or just reply!

Thanks so much and best regards -

Maureen McCarthy, CASM
VP National Accounts
MRI-Fresno
(800) 881-4139 x105
(559) 432-9937 (fax)
Maureen=mri-fresno.com

-----Original Message-----
From: qsar_society-admin-#-accelrys.com
[mailto:qsar_society-admin.:.accelrys.com]On Behalf Of Stefan Dove
Sent: Tuesday, October 28, 2003 2:42 AM
To: Hugo Kubinyi; qsar_society]~[accelrys.com
Cc: mark.earll~!~umetrics.co.uk; lennart.eriksson]![umetrics.com
Subject: RE: QSAR - How to statistically determine when variables are
"wor king well together"

NB: Unless you reset the To: line, your reply goes to the entire list

---
Dear all,
let me give the following comment to Hugo Kubinyi:
How to derive models which are as simple as possible (and as complex as
necessary)? The  e x c l u s i v e  selection of variables that explain
as single variables is mostly not appropriate, but each variable
selection must include these variables. Checking all three-variable
combinations as recommended by Hugo will commonly retain such critical
descriptors. The cited example, however, refers just to the case where
the selection of only X-4 is at least not "nonsense". Trivially, if a
single variable like X-4 explains  m u c h  of the data, the
combination w i t h other variables will not improve the fit and the
prediction, but in the case of multicollinearities the combination  o f
 other variables may reproduce the effect of the single variable (Table
7 in the cited article is a nice example of the influence of this rule
in PLS).
May be that I always overemphasize the goal to get more transparent
results with interpretable models and therefore favor strict variable
selection. As referee I often had to deal with manuscripts
investigating the correlation of a huge number of topological
descriptors with biological or chemical data, but in some cases a
simple inspection of a table has shown that a single variable explained
most of the SAR by discriminating between discrete structural features.
Today, with Internet, fast computers and easily available software, it
is much too simple also for unexperienced users to obtain large
descriptor sets. Therefore we may not often enough call for chemical
and pharmacological transparency of our results.
Best regards,
Stefan.
Prof. Dr. Stefan Dove   Tel.    +49 941/943/4673
Univ. Regensburg        FAX     +49 941/943/4820
Inst. Pharmazie
93040 Regensburg        EMail:  Stefan.Dove__chemie.uni-regensburg.de
Germany
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