[R] Job Opportunity: Statistical Guru CC 083

(Ted Harding) Ted.Harding at nessie.mcc.ac.uk
Sun May 15 17:36:04 CEST 2005

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,

> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Uwe Ligges
> Sent: 15 May 2005 12:00
> To: Don Alexander
> Cc: r-help at 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:
>> recruiter3 at ccesearch.com.
>> General CV/resume submissions for inclusion in our knowledgebase of 
>> future opportunities can be made to: resume at ccesearch.com
>> 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
>> dalexander at ccesearch.com
>> http://www.ccesearch.com
>> ______________________________________________
>> R-help at 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
> ______________________________________________
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> PLEASE do read the posting guide!
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> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
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> PLEASE do read the posting guide!
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E-Mail: (Ted Harding) <Ted.Harding at nessie.mcc.ac.uk>
Fax-to-email: +44 (0)870 094 0861
Date: 15-May-05                                       Time: 16:35:06
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