Job ID: 4639
Job date: 2015-10-30
End Date:
Company : Human Longevity Country : Role : Research Scientist
Job date: 2015-10-30
End Date:
Company : Human Longevity Country : Role : Research Scientist
Job Description:
Purpose
Human Longevity Inc. (HLI) is the genomics-based, technology-driven company creating the most comprehensive database of whole genome, phenotype and clinical data. HLI is developing and applying large scale computing and machine learning to make novel discoveries to revolutionize the practice of medicine. A privately held company headquartered in San Diego, CA, HLI was founded in 2013 by pioneers in the fields of genomics and stem cell therapy. HLI will be licensing access to its database, and developing new diagnostics and therapeutics as part of their product offerings. For more information please visit, www.humanlongevity.com .
Job Description
HLI’s machine learning/big data team will design and engineer advanced programs performing mining, analysis and assessment of the most comprehensive human genome, microbiome, metabolone, proteome and phenotype data available. This will be achieved by leveraging and assessing the most advanced bioinformatics data gathered for the purpose of healthier aging and overall human wellness study. 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 Responsibilities
Apply data-mining, machine learning and/or graph analysis techniques for a variety of modeling and relevance problems Design and evaluate novel approaches for handling high-volume real-time data streams Code using primarily C++, C, Python, Java, Scala in a Unix/Linux environment Conduct design and code reviews Interface with Bioinformatics Scientists and Research Scientists Work with large unstructured and structured data sets Prototype, develop and test new algorithms Mine existing empirical data sets to develop performance metrics for real-time as well as post-hoc use Improve the computational efficiency and scalability of various statistical models
Minimum Qualifications (Must have)
MS or PhD in Computer Science, preferably with a focus on Statistical Learning, Applied Statistics, Marketing Science, Operations Research. Graduates from other relevant scientific or engineering fields would also be considered. Strong background in one or more of the following: BIG DATA, distributive computing, heuristics, machine-learning, information retrieval, recommendation systems, social network analysis, or artificial intelligence Software coding experience with C++ or Java/Scala, Python, in a Linux environment Strong system building, problem solving and data structures experience
Preferred Qualifications
Candidates would ideally have experience with large scale systems and server-side technologies Experience in a start-up environment Global experience
Working Conditions
Open office environment Global environment with multiple sites, which may require work beyond standard business hours Prolonged periods of sitting, standing, bending and kneeling Occasional travel may be required
Human Longevity, Inc. is an equal opportunity employer
DISCLAIMER: The information on this description has been designed to indicate the general nature and level of work. It is not designed to be interpreted as a comprehensive inventory of all duties and responsibilities of an employee to this job.
Additional Info:
[Click Here to Access the Original Job Post]
Purpose
Human Longevity Inc. (HLI) is the genomics-based, technology-driven company creating the most comprehensive database of whole genome, phenotype and clinical data. HLI is developing and applying large scale computing and machine learning to make novel discoveries to revolutionize the practice of medicine. A privately held company headquartered in San Diego, CA, HLI was founded in 2013 by pioneers in the fields of genomics and stem cell therapy. HLI will be licensing access to its database, and developing new diagnostics and therapeutics as part of their product offerings. For more information please visit, www.humanlongevity.com .
Job Description
HLI’s machine learning/big data team will design and engineer advanced programs performing mining, analysis and assessment of the most comprehensive human genome, microbiome, metabolone, proteome and phenotype data available. This will be achieved by leveraging and assessing the most advanced bioinformatics data gathered for the purpose of healthier aging and overall human wellness study. 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 Responsibilities
Apply data-mining, machine learning and/or graph analysis techniques for a variety of modeling and relevance problems Design and evaluate novel approaches for handling high-volume real-time data streams Code using primarily C++, C, Python, Java, Scala in a Unix/Linux environment Conduct design and code reviews Interface with Bioinformatics Scientists and Research Scientists Work with large unstructured and structured data sets Prototype, develop and test new algorithms Mine existing empirical data sets to develop performance metrics for real-time as well as post-hoc use Improve the computational efficiency and scalability of various statistical models
Minimum Qualifications (Must have)
MS or PhD in Computer Science, preferably with a focus on Statistical Learning, Applied Statistics, Marketing Science, Operations Research. Graduates from other relevant scientific or engineering fields would also be considered. Strong background in one or more of the following: BIG DATA, distributive computing, heuristics, machine-learning, information retrieval, recommendation systems, social network analysis, or artificial intelligence Software coding experience with C++ or Java/Scala, Python, in a Linux environment Strong system building, problem solving and data structures experience
Preferred Qualifications
Candidates would ideally have experience with large scale systems and server-side technologies Experience in a start-up environment Global experience
Working Conditions
Open office environment Global environment with multiple sites, which may require work beyond standard business hours Prolonged periods of sitting, standing, bending and kneeling Occasional travel may be required
Human Longevity, Inc. is an equal opportunity employer
DISCLAIMER: The information on this description has been designed to indicate the general nature and level of work. It is not designed to be interpreted as a comprehensive inventory of all duties and responsibilities of an employee to this job.
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]