Research Scientist – Machine Learning (Software Engineering) – Human Longevity, Inc. – Mountain View, CA

Job ID: 4638
Job date: 2015-10-30
End Date:

Company : Human Longevity 

Country :

Role : Research Scientist 


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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 Research Scientist who wants to learn and explore the new dimension of Big Data meets Genomic Science.

Tasks and Responsibilities
Use existing and develop new machine learning algorithms to solve a broad set of prediction and data analysis problems

Use existing and develop new data-mining, machine learning and/or graph analysis techniques

Code using primarily C++, C, Python, Java, Scala in a Unix/Linux environment

Conduct design and code reviews

Interface with Bioinformatics Scientists and Software Engineers

Work with large unstructured and structured data sets

Prototype, develop and test new algorithms

Design, execute and analyze empirical performance assessment and validation studies

Improve the computational efficiency and scalability of various statistical models

Minimum Qualifications (Must have)
PhD in Computer Science, preferably with a focus on Statistical Learning, Applied Statistics, Artificial Intelligence.

Strong machine learning expertise, both theory and practice

Background in one or more of the following: BIG DATA, distributive computing, heuristics, information retrieval, recommendation systems, social network analysis

Software coding experience with C++ and C languages, Python, in a Linux environment

Strong system building, problem solving and data structures experience

Strong publication record in the area of machine learning, artificial intelligence or statistics

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.


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