Re: [R] Job Opportunity: Statistical Guru CC 083

2005-05-15 Thread Uwe Ligges
BTW:
I am looking for a wife that is very intelligent, earns at least 
300,000$ a year, is less than 25 years old, is a real beauty, happily 
cooks, cleans, and works in the garden, and is never moody, of course.
She would have the great opportunity to solve one of the most complex 
challenges facing human life today: Marrying me, a guy working 12 hours 
a day, only talking about statistics and alike, looking tired, 
frequently beeing ill, a couple of years older, always moody, not even 
remembering his own birthday.

Of course, I will not send any answers on your inquiries if I like your 
photo and you have sent me at least 10,000$.

Uwe Ligges
Don Alexander wrote:
Do you consider yourself a cutting edge statistical expert with a penchant
for applying your broad theoretical background to solving some of the most
complex statistical challenges facing human health today? Does the idea of
working for an emerging company who has a strong management team,
financial backing and world class scientific advisors appeal to you? If
so, read on...
Our client is a drug development platform technology company whose patent
pending intellectual property is poised to dramatically impact both drug
discovery and development processes. The ultimate benefit to the drug
development process will be to identify safer compounds for development,
shorten the time for drugs to get to market and identify diagnostic
markers for earlier disease detection. This technology will increase the
success rate, decrease the time to market and stopdevelopment of products
before critical investments are lost.
Responsibilities:
Independently develop novel statistical approaches to a variety of data
types.
Provide statistical support for all data-mining efforts, platform Quality
Control, and data monitoring.
Produce statistical programs as needed.
Qualifications:
Ph.D. or Masters in Statistics
At least 8 years of experience
Prior experience in R, S, SAS and/or S-plus and Design of Experiments (DOE)
Prior Data Mining knowledge (PLS, neural networks, OLAP, etc.)
Breadth of statistical approaches (Q Value/false discovery rate, P Value,
Bayesian, Frequentist, Monte Carlo Methods, multivariate data analysis,
logistic regression, chi-squared, Random Forest (RF) predictors)
Prior experience in a Life Sciences research and development environment
Bioinformatics knowledge preferable
Ability to lead or direct the work of others
Characteristics:
Naturally creative, with a broad background
Self starter
Assertive with a positive outlook and performance oriented attitude
Passion, energy, personal drive and motivation
Outstanding communication skills, a strategic mindset, an ability to
interface at an executive level and a polished presence are required
As a professional search firm, we will only be responding to those
inquiries that most closely align with the stated requirements. Moreover,
our client employer can only review candidates with valid US work
authorization at this time. Please include the position ID (CC 083) in the
subject line of your correspondence to ensure review and forward your
credentials (* Word/PDF/HTML or Text format please), in confidence,
to:
[EMAIL PROTECTED]
General CV/resume submissions for inclusion in our knowledgebase of future
opportunities can be made to: [EMAIL PROTECTED]
For our most recent searches, please review our web site at:
www.ccesearch.com.
Kind regards,
Don Alexander
Director of Biz Dev Life Sciences
Carlyle  Conlan
(919) 474-0771x105
[EMAIL PROTECTED]
http://www.ccesearch.com
__
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PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
__
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RE: [R] Job Opportunity: Statistical Guru CC 083

2005-05-15 Thread Mike Waters
 Wow,

Cutting edge to bleeding heart - and all in one day! 8¬

Mike

P.s. Uwe - start with an easy one, like a Unicorn.

-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Uwe Ligges
Sent: 15 May 2005 12:00
To: Don Alexander
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] Job Opportunity: Statistical Guru CC 083

BTW:
I am looking for a wife that is very intelligent, earns at least 300,000$ a
year, is less than 25 years old, is a real beauty, happily cooks, cleans,
and works in the garden, and is never moody, of course.
She would have the great opportunity to solve one of the most complex
challenges facing human life today: Marrying me, a guy working 12 hours a
day, only talking about statistics and alike, looking tired, frequently
beeing ill, a couple of years older, always moody, not even remembering his
own birthday.

Of course, I will not send any answers on your inquiries if I like your
photo and you have sent me at least 10,000$.

Uwe Ligges


Don Alexander wrote:

 Do you consider yourself a cutting edge statistical expert with a 
 penchant for applying your broad theoretical background to solving 
 some of the most complex statistical challenges facing human health 
 today? Does the idea of working for an emerging company who has a 
 strong management team, financial backing and world class scientific 
 advisors appeal to you? If so, read on...
 
 Our client is a drug development platform technology company whose 
 patent pending intellectual property is poised to dramatically impact 
 both drug discovery and development processes. The ultimate benefit to 
 the drug development process will be to identify safer compounds for 
 development, shorten the time for drugs to get to market and identify 
 diagnostic markers for earlier disease detection. This technology will 
 increase the success rate, decrease the time to market and 
 stopdevelopment of products before critical investments are lost.
 
 Responsibilities:
 Independently develop novel statistical approaches to a variety of 
 data types.
 Provide statistical support for all data-mining efforts, platform 
 Quality Control, and data monitoring.
 Produce statistical programs as needed.
 
 Qualifications:
 Ph.D. or Master’s in Statistics
 At least 8 years of experience
 Prior experience in R, S, SAS and/or S-plus and Design of Experiments 
 (DOE) Prior Data Mining knowledge (PLS, neural networks, OLAP, etc.) 
 Breadth of statistical approaches (Q Value/false discovery rate, P 
 Value, Bayesian, Frequentist, Monte Carlo Methods, multivariate data 
 analysis, logistic regression, chi-squared, Random Forest (RF) 
 predictors) Prior experience in a Life Sciences research and 
 development environment Bioinformatics knowledge preferable Ability to 
 lead or direct the work of others
 
 Characteristics:
 Naturally creative, with a broad background Self starter Assertive 
 with a positive outlook and performance oriented attitude Passion, 
 energy, personal drive and motivation Outstanding communication 
 skills, a strategic mindset, an ability to interface at an executive 
 level and a polished presence are required
 
 As a professional search firm, we will only be responding to those 
 inquiries that most closely align with the stated requirements. 
 Moreover, our client employer can only review candidates with valid US 
 work authorization at this time. Please include the position ID (CC 
 083) in the subject line of your correspondence to ensure review and 
 forward your credentials (* Word/PDF/HTML or Text format please), in 
 confidence,
 to:
 
 [EMAIL PROTECTED]
 
 General CV/resume submissions for inclusion in our knowledgebase of 
 future opportunities can be made to: [EMAIL PROTECTED]
 
 For our most recent searches, please review our web site at:
 www.ccesearch.com.
 
 Kind regards,
 
 Don Alexander
 Director of Biz Dev Life Sciences
 Carlyle  Conlan
 (919) 474-0771x105
 [EMAIL PROTECTED]
 http://www.ccesearch.com
 
 __
 R-help@stat.math.ethz.ch mailing list
 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide! 
 http://www.R-project.org/posting-guide.html

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html

__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html


RE: [R] Job Opportunity: Statistical Guru CC 083

2005-05-15 Thread Ted Harding
On 15-May-05 Mike Waters wrote:
  Wow,
 
 Cutting edge to bleeding heart - and all in one day! 8¬
 
 Mike
 
 P.s. Uwe - start with an easy one, like a Unicorn.

Dear Uwe,

Some further advice. I fear your vacancy notice has not been written
to attract the best candidate. There are even important details
which you have left unmentioned (for example, is your preferred method
of communication by Command, or by Point and Click, or by both?)

Perhaps slightly more seriously, Don Alexander's advertisement
contains many of the elements of a good vacancy notice, and could
perhaps serve as a model which you could refine.

I am reminded of C. Northcote Parkinson's penetrating analyis of job
adverts (he of Parkinson's Law). He pointed out that most job
advertisements are inefficient and ineffective, in that they are
written in such a way that they attract far too many applicants.
As a result, much time, effort and expense is incurred in rejecting
most or even all of these (since really discriminating candidates
would probably not respond in the first place.

He recommended instead the Chinese Method. In this, you know
exactly whom you precisely want, and you frame the advert in such
terms as to exclude all other possibilities, and to just (but no
more) irresistibly attract that one candidate. Don Alexander's
effort clearly goes some distance in this direction, though even
so there will probably be unnecessary duplication of applicants.
But you can work on it!

With best wishes, and with tongue in cheek,
Ted.

 -Original Message-
 From: [EMAIL PROTECTED]
 [mailto:[EMAIL PROTECTED] On Behalf Of Uwe Ligges
 Sent: 15 May 2005 12:00
 To: Don Alexander
 Cc: r-help@stat.math.ethz.ch
 Subject: Re: [R] Job Opportunity: Statistical Guru CC 083
 
 BTW:
 I am looking for a wife that is very intelligent, earns at least
 300,000$ a year, is less than 25 years old, is a real beauty,
 happily cooks, cleans, and works in the garden, and is never moody,
 of course.
 She would have the great opportunity to solve one of the most
 complex challenges facing human life today: Marrying me, a guy
 working 12 hours a day, only talking about statistics and alike,
 looking tired, frequently beeing ill, a couple of years older,
 always moody, not even remembering his own birthday.
 
 Of course, I will not send any answers on your inquiries if I like
 your photo and you have sent me at least 10,000$.
 
 Uwe Ligges
 
 
 Don Alexander wrote:
 
 Do you consider yourself a cutting edge statistical expert with a 
 penchant for applying your broad theoretical background to solving 
 some of the most complex statistical challenges facing human health 
 today? Does the idea of working for an emerging company who has a 
 strong management team, financial backing and world class scientific 
 advisors appeal to you? If so, read on...
 
 Our client is a drug development platform technology company whose 
 patent pending intellectual property is poised to dramatically impact 
 both drug discovery and development processes. The ultimate benefit to
 the drug development process will be to identify safer compounds for 
 development, shorten the time for drugs to get to market and identify 
 diagnostic markers for earlier disease detection. This technology will
 increase the success rate, decrease the time to market and 
 stopdevelopment of products before critical investments are lost.
 
 Responsibilities:
 Independently develop novel statistical approaches to a variety of 
 data types.
 Provide statistical support for all data-mining efforts, platform 
 Quality Control, and data monitoring.
 Produce statistical programs as needed.
 
 Qualifications:
 Ph.D. or Master’s in Statistics
 At least 8 years of experience
 Prior experience in R, S, SAS and/or S-plus and Design of Experiments 
 (DOE) Prior Data Mining knowledge (PLS, neural networks, OLAP, etc.) 
 Breadth of statistical approaches (Q Value/false discovery rate, P 
 Value, Bayesian, Frequentist, Monte Carlo Methods, multivariate data 
 analysis, logistic regression, chi-squared, Random Forest (RF) 
 predictors) Prior experience in a Life Sciences research and 
 development environment Bioinformatics knowledge preferable Ability to
 lead or direct the work of others
 
 Characteristics:
 Naturally creative, with a broad background Self starter Assertive 
 with a positive outlook and performance oriented attitude Passion, 
 energy, personal drive and motivation Outstanding communication 
 skills, a strategic mindset, an ability to interface at an executive 
 level and a polished presence are required
 
 As a professional search firm, we will only be responding to those 
 inquiries that most closely align with the stated requirements. 
 Moreover, our client employer can only review candidates with valid US
 work authorization at this time. Please include the position ID (CC 
 083) in the subject line of your correspondence to ensure review and 
 forward your credentials (* Word/PDF/HTML or Text