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b D, Y
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PsychoGenics
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Description
Title: Machine Learning Guru to Revolutionize Drug Discovery Job #: PSYO-MATIC Accolo, a community helping each other find jobs and people for jobs, has been asked to help fill this job. To apply or refer someone you know, please go to: http://members.accolo.com/webapp/orion/public/ReferApplyJob.jsp?ID1=fojixy As the Director of Bioinformatics for PsychoGenics, you will take a lead role in transforming the current process of drug discovery. By applying PhD level Machine Learning methods to real world science, and working with leading experts in the field, you will revamp traditional methodologies. PsychoGenics is changing the playing field by developing Machine Learning methodologies for high throughput in vivo drug discovery. If successful, your research will significantly reduce the cost per novel compound screened thus increasing the number of compounds that can be screened, resulting in a drastic increase in the number of new drugs found. PsychoGenics is a young 40-person Angel funded company in Hawthorne, New York. We have developed the first high-throughput in vivo behavioral testing system, which we believe can transform CNS drug discovery. Our founders recognized the need for a company to focus on CNS research and the bottlenecks in the drug discovery process. Our other work in this area includes phenotyping knockouts and transgenics, and finding functionality associated with mutations and secondary screening of compounds. Other facets of our research and services aim to identify and understand the function of genes involved in behavioral and neurological disorders. We will use this knowledge to develop better models of these disorders and to discover validated targets for novel drugs. As our Director of Bioinformatics based in Hawthorne, NY, your first assignment will be to learn our SmartCube system, and how Machine Learning (ML) is being used to analyze data. Smart Cube combines complex hardware with computer-vision algorithms and bioinformatics. To contribute to further development, you will need an exceptional understanding of Machine Learning algorithms, such as decision trees, bagging, boosting, support vector machines, and logistic regression, as well as the proven ability to create new ones. Knowledge of reinforcement learning and optimization methods will also be useful. Since the field of Machine Learning as well as this position involves the integration of computational methods with both traditional and newer statistical methods, a solid understanding of statistics is required. You should be able to program well, and code algorithms with command-line interfaces or simple GUIs. This is a tremendous opportunity with a dynamic company in a demanding environment. Your PhD education and academic achievements from a leading university will provide an enabling foundation for your immediate contribution. Related keywords: Bayesian, Statistics, bioinformatics, drug discovery, decision trees, Java, C/C++, bagging, boosting, support vector machines, logistic regression, reinforcement learning, optimization algorithms, Anova, multiple hypothesis testing, design of experiments, novel pharmaceuticals, molecular databases, QSAR
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Accolo, a community helping each other find jobs and people for jobs, has been asked to help fill this job. To apply or refer someone you know, please go to: http://members.accolo.com/webapp/orion/public/ReferApplyJob.jsp?ID1=fojixy
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