Job Company: Human Longevity
The BioInformatics Engineer is primarily responsible for implementing, optimizing and maintaining Next Generation Sequencing Analysis & Annotation Pipelines in an Amazon Web Services environment, and further drive innovation through the use of machine learning and data mining techniques.The candidate will have experience working with container technologies, such as Docker, and with infrastructure used to schedule containers in a cloud environment. [More]
This is an exceptional opportunity for the Software Engineer who wants to learn and explore the new dimension of Big Data meets Genomic Science.Tasks and... From Human Longevity - 09 Apr 2016 00:43:59 GMT - View all Mountain View jobs [More]
Using Machine Learning to build new and improve existing trait & disease prediction modelsExtract genomic features, eg structural variants, from large large... From Human Longevity - 21 Mar 2016 23:29:09 GMT - View all Mountain View jobs [More]
This is an exceptional opportunity for the Software Engineer who wants to learn and explore the new dimension of Big Data meets Genomic Science.Tasks and... From Human Longevity - 11 Dec 2015 20:45:00 GMT - View all Mountain View jobs [More]
Is looking for a Software Engineer or Bioinformatics Engineer with an emphasis in Biomedical Text Mining to design and develop HLI's capabilities to mine... From Human Longevity - 17 Nov 2015 07:32:40 GMT - View all Mountain View jobs [More]
MS or PhD in Computer Science, preferably with a focus on Statistical Learning, Applied Statistics, Marketing Science, Operations Research.... From Human Longevity, Inc. - 25 Oct 2015 06:05:24 GMT - View all Mountain View jobs [More]
HLI’s machine learning/big data team will design and engineer advanced programs performing mining, analysis and assessment of the most comprehensive human... From Human Longevity, Inc. - 25 Oct 2015 06:05:26 GMT - View all Mountain View jobs [More]
Human Longevity is constructing a robust sequencing operation to compile the most comprehensive and complete human genotype, microbiome, metabolome, proteome, and phenotype database available. [More]