Job ID: H93329
Job date: 2018-01-21
End Date:
Company : UCLA Health Country : Role : Research Scientist
Job date: 2018-01-21
End Date:
Company : UCLA Health Country : Role : Research Scientist
Job Description:
Bioinformatidist will be required to utilize the elasticity of the AWS Cloud and innovative Big Data technologies, working with the team to develop highly optimized state-of-the-art bioinformatics solutions. Bioinformaticist with strong Genomic analysis, AWS, IaaS, Linux systems administration, HPC experience, who can 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 include design, manage compute infrastructure, and the development of new bioinformatics software and genomic analysis pipelines. The bioinformatician will work 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. Running various NGS analysis pipeline such as whole exome sequencing, whole genome sequencing and RNAseq; 2. Automating the bioinformatics pipeline; 3. Building variant database; 4. Assisting investigators to query the variant and medical record database; 5. Variant annotation; 6. Genomics data-set integration Job Qualifications: MS or PhD in computational biology, human genetics, bioinformatics, computer science, or related field, or equivalent experience. 5+ year of hands-on experience working with genomic data and building genomic and bioinformatics pipelines. Experienced and creative bioinformatician with solid scripting skills. Experience with WES/WGS variant analysis and interpretation is a plus. Experience with RNAseq data analysis and interpretation is a plus. Experience with bioinformatics technologies such as sequence alignment, clustering and blasting, Splicing, Next Generation Sequencing is a plus. Must have demonstrated proficiency working in AWS and distributed computing environments. Must have strong skills in one of the programming language such as Python, Perl, R; And proficient in Unix/Linux OS and shell scripting. Experience in utilizing tools/platform: Rstudio, Matlab, Zeppelin, Jupyter, iPython, Hadoop, Spark, Hive..etc is a plus. Experience analyzing data on the order of tens of billions of records. Strong database and big data structure design and querying. Experience in research, test, recommend, and place orders for new or alternative computing systems as enhancement to existing enviornment as needed and in consideration of budget constraints and cost/benefit analysis; design and set-up pre-production test environment for new systems. Ability to investigate ETL pipeline and data querying performance and process failures and work to improve them. Experience in providing consultation for researchers on hardware and software solutions for their research needs, including design and maintenance of research-based pipeline and coordination with vendors of specialty computing systems required for specific projects. Document and work with other members of the IT team to cross-train on project/system deployments. Ability to work with users with diverse technical experience and gather requirements and design solutions. Liaise with vendors and other IT personnel for problem resolution. Be part of an on-call rotation for after hours emergency response. Excellent verbal and written communication skills are required. Strong organizational and interpersonal skills will be needed in our collaborative and fast-paced team. Team Oriented/Player. Strong problem solving abilities. Self-learner.
Additional Info:
UCLA Institute of Precision Health and DGIT 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. Work Location: Oppenheimer Job Type: Career Duration: Indefinite Minimum Salary: $43.97 / $7650 Maximum Salary: $86.93 / $15125 Bargaining Unit: 99 Work Hours:Monday-Friday [Click Here to Access the Original Job Post]
Bioinformatidist will be required to utilize the elasticity of the AWS Cloud and innovative Big Data technologies, working with the team to develop highly optimized state-of-the-art bioinformatics solutions. Bioinformaticist with strong Genomic analysis, AWS, IaaS, Linux systems administration, HPC experience, who can 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 include design, manage compute infrastructure, and the development of new bioinformatics software and genomic analysis pipelines. The bioinformatician will work 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. Running various NGS analysis pipeline such as whole exome sequencing, whole genome sequencing and RNAseq; 2. Automating the bioinformatics pipeline; 3. Building variant database; 4. Assisting investigators to query the variant and medical record database; 5. Variant annotation; 6. Genomics data-set integration Job Qualifications: MS or PhD in computational biology, human genetics, bioinformatics, computer science, or related field, or equivalent experience. 5+ year of hands-on experience working with genomic data and building genomic and bioinformatics pipelines. Experienced and creative bioinformatician with solid scripting skills. Experience with WES/WGS variant analysis and interpretation is a plus. Experience with RNAseq data analysis and interpretation is a plus. Experience with bioinformatics technologies such as sequence alignment, clustering and blasting, Splicing, Next Generation Sequencing is a plus. Must have demonstrated proficiency working in AWS and distributed computing environments. Must have strong skills in one of the programming language such as Python, Perl, R; And proficient in Unix/Linux OS and shell scripting. Experience in utilizing tools/platform: Rstudio, Matlab, Zeppelin, Jupyter, iPython, Hadoop, Spark, Hive..etc is a plus. Experience analyzing data on the order of tens of billions of records. Strong database and big data structure design and querying. Experience in research, test, recommend, and place orders for new or alternative computing systems as enhancement to existing enviornment as needed and in consideration of budget constraints and cost/benefit analysis; design and set-up pre-production test environment for new systems. Ability to investigate ETL pipeline and data querying performance and process failures and work to improve them. Experience in providing consultation for researchers on hardware and software solutions for their research needs, including design and maintenance of research-based pipeline and coordination with vendors of specialty computing systems required for specific projects. Document and work with other members of the IT team to cross-train on project/system deployments. Ability to work with users with diverse technical experience and gather requirements and design solutions. Liaise with vendors and other IT personnel for problem resolution. Be part of an on-call rotation for after hours emergency response. Excellent verbal and written communication skills are required. Strong organizational and interpersonal skills will be needed in our collaborative and fast-paced team. Team Oriented/Player. Strong problem solving abilities. Self-learner.
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in computational biology
- M.Sc. or higher Degree in Computer Science
Skills :
- Bioinformatics
- Database design
- genomic
- HPC
- Lunix/Unix
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in Matlab
- Programming in PERL
- Programming in R
- RNA-seq
- Shell scripting
- Software Design
Areas :
Additional Info:
UCLA Institute of Precision Health and DGIT 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. Work Location: Oppenheimer Job Type: Career Duration: Indefinite Minimum Salary: $43.97 / $7650 Maximum Salary: $86.93 / $15125 Bargaining Unit: 99 Work Hours:Monday-Friday [Click Here to Access the Original Job Post]