Craig Hyde Email and Phone Number
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Craig Hyde personal email
I am always looking for opportunities to utilize my expertise in general statistics, genetics, gene expression/microarray analysis, clinical statistics, mathematics, and bioinformatics for challenging endeavors that will make a positive impact on public health. Hoepfully, doing so will also contribute to the financial success of both my employer and myself.
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Executive Director, Head Of Translational Medicine StatisticsPfizer Aug 2004 - PresentNew York, New York, UsLeads a group of computational biologists and statisticians responsible for high-throughput statistical genetics on clinical and nonclinical data (with heavy use of GWAS), and primarily analyzing high-dimensional molecular biomarker data from clinical patient samples, both for elucidating disease and drug mechanisms, and for identifying sub-populations of treatment response. -
Senior Research ScientistCuragen Nov 2001 - Jul 2004UsDeveloped computational tools for statistical genetics and for predictive modeling of lead compound toxicity via gene expression analysis. Performed preclinical statistical analyses including xenograft analyses, survival analyses, longitudunial animal metabolic studies (incorporating gene expression analysis) and cellular assay analyses.
Craig Hyde Skills
Craig Hyde Education Details
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University Of ArizonaApplied Mathematics -
University Of MichiganPhysics -
The University Of Texas At AustinPhysics
Frequently Asked Questions about Craig Hyde
What company does Craig Hyde work for?
Craig Hyde works for Pfizer
What is Craig Hyde's role at the current company?
Craig Hyde's current role is Executive Director, Head of Translational Medicine Statistics at Pfizer.
What is Craig Hyde's email address?
Craig Hyde's email address is cr****@****zer.com
What schools did Craig Hyde attend?
Craig Hyde attended University Of Arizona, University Of Michigan, The University Of Texas At Austin.
What skills is Craig Hyde known for?
Craig Hyde has skills like Biomarkers, Genetics, Assay Development, Drug Development, Clinical Development, Proteomics, Biomarker Discovery, High Throughput Screening, Drug Discovery, Computational Biology, Survival Analysis, Translational Medicine.
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