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
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______________________________________________ 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
