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GOLDSEA | CAREER CENTER | JOBS AT FEATURED EMPLOYERS
The Hottest New Careers of the Biotech Boom
iotech is one industry that won't experience a shortage of job openings for the forseeable future. The harnessing of massive computing power for both research and development is enabling the industry to emerge from the Dark Ages of trial and error methods to a brave new world of gene-based therapies, bio-engineering and nano-medicine.
     Brand-new strategies for attacking diseases and disabilities are being born practically by the day. Each product opportunity takes the efforts of hundreds or thousands to exploit commercially, creating an insatiable demand for trained biotech professionals. If the personal computer industry is any gauge, the demand for biotech talent won't be satisfied for at least two decades.      Here are the 7 areas within the biotech/pharmaceuticals industry that will offer the most promising career opportunities in the coming decades. 1. BIOINFORMATICS      Bioinformatics is the use of computing power to accelerate research, development, regulatory approval, quality control, production and marketing of medicines. It's the backbone of the biotech boom. Its most famous achievement is the sequencing of the human genome, but that has only launched the more demanding quest to sequence the proteome and economically develop therapies through the efficiencies of computer-based analysis and/or simulation of experimental or clinical data.      The field of bioinformatics offers high-paying careers for applied mathematicians, biostatiscians, bioinformatics scientists and bioinformacians, as well as the usual array of IT professionals.      Applied mathematicians are the field's core conceptual minds. They are typically expected to have a PhD/MS in computational mathematics, applied mathematics, engineering, computer science or the like. They are also expected to be agile thinkers adept at combining concepts and techniques from mathematics to fields like biology, chemistry and software engineering. More senior positions require considerable experience with protein informatics, computational chemistry, large-scale sequence databases and image-processing routines in relation to proteins, protein and gene expression, and peptide sequencing. [CONTINUED BELOW]
    
Biostatiscians are the workhorses, devising statistical data and analyses pertaining to proteomics, population studies, clinical trial designs and elucidating clinically relevant surrogate markers from gene/protein expression profiles and genetic disease association studies. They are typically required to have a Phd or MS in biostatistics, together with a familiarity with basic concepts from disciplines like molecular biology, organic chemistry and cell biology. More senior positions may require several years of experience analyzing and interpreting statistical results and applying statistical techniques in a pharmaceutical research environment.
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