Job Description:
The Bioinformatics Engineer will manage High Performance Computing Cluster for Genomic Analysis and HIPAA compliant environment reporting to UCLA Institute of Precision Health and DGIT team. This team designs, implements, operates and maintains the high-performance compute infrastructure that is tailor designed to address the substantial processing, networking and data moving challenges arising from genomic science. Utilizing the elasticity of the AWS Cloud and innovative Big Data technologies, the team is to develop highly optimized state-of-the-art bioinformatics solutions. Engineer with strong AWS, IaaS, Linux systems administration, HPC experience, who will be required to leverage their expertise to provide investigators and data scientist the computing environment they need to make an impact in medical care by advancing our understanding of the role of the human genome in disease. Responsbilities will include managin compute infrastructure and workload as focus and also contribute in the development of new bioinformatics software and genomic analysis pipelines. The engineer will closely with a team of investigators, staff researchers and research computing IT in, but not limited to, the Clinical Exome Sequencing (CES) laboratory, Undiagnosed Disease Network (UDN) and Institute of Precision Health Clinical and Translational Science Institute (CTSI) under the direction of Dr. Stanley Nelson and Dr. Hane Lee to perform the following: 1. Managing on premise HPC cluster
Additional Info:
[Click Here to Access the Original Job Post]
The Bioinformatics Engineer will manage High Performance Computing Cluster for Genomic Analysis and HIPAA compliant environment reporting to UCLA Institute of Precision Health and DGIT team. This team designs, implements, operates and maintains the high-performance compute infrastructure that is tailor designed to address the substantial processing, networking and data moving challenges arising from genomic science. Utilizing the elasticity of the AWS Cloud and innovative Big Data technologies, the team is to develop highly optimized state-of-the-art bioinformatics solutions. Engineer with strong AWS, IaaS, Linux systems administration, HPC experience, who will be required to leverage their expertise to provide investigators and data scientist the computing environment they need to make an impact in medical care by advancing our understanding of the role of the human genome in disease. Responsbilities will include managin compute infrastructure and workload as focus and also contribute in the development of new bioinformatics software and genomic analysis pipelines. The engineer will closely with a team of investigators, staff researchers and research computing IT in, but not limited to, the Clinical Exome Sequencing (CES) laboratory, Undiagnosed Disease Network (UDN) and Institute of Precision Health Clinical and Translational Science Institute (CTSI) under the direction of Dr. Stanley Nelson and Dr. Hane Lee to perform the following: 1. Managing on premise HPC cluster
Requeriments :
Skills :
- Database design
- HPC
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in R
- Shell scripting
Areas :
Additional Info:
[Click Here to Access the Original Job Post]