Job ID: b3841c7af278b922
Job date: 2019-04-05
End Date: 2019-06-04
Company : University of Virginia Country : United States Role : Bioinformatics analyst
Job date: 2019-04-05
End Date: 2019-06-04
Company : University of Virginia Country : United States Role : Bioinformatics analyst
Job Description:
The Department of Medicine, Division of Infectious Diseases at the University of Virginia is seeking a talented and passionate Bioinformatics Research Scientist to support its growing bioinformatics analysis needs. The individual will integrate their knowledge and experience into current research efforts undertaken by various Investigators, especially in analyzing large-scale genomic data with a focus on its applications in the field of microbiology.The Division boasts a team of 35 exceptional faculty members with diverse research interests, and the candidate will have the opportunity to collaborate with many of them on multiple distinct projects including microbiome, microbe strain relatedness, and developing and designing queries for virulence and resistance genes.
Additional Info:
The candidate is expected to work on the university-shared high-performance computing infrastructure that is tailor designed to address the substantial processing, networking and data moving challenges arising from genomic science. The candidate will also be responsible for writing manuscripts describing their work, and presenting at national/international conferences.
Required Knowledge & Skills:
· Understanding of next generation sequencing technologies, including Illumina, Nanopore, PacBio platforms, is a must
· Strong knowledge of working in a Linux environment; experience working on a high-performance computing cluster is desirable
· Advanced proficiency in Python, Perl, or another scripting language
· Advanced proficiency in R/Python (or other), for data management, data visualization and statistical analysis
· Experience in using common open-source bioinformatics tools for analyzing next-generation sequence datasets
· Prior experience working with prokaryotic whole genome sequencing data is desirable
· Prior experience working with metagenomics / metatranscriptomics datasets for microbiome research is desirable[Click Here to Access the Original Job Post]
The Department of Medicine, Division of Infectious Diseases at the University of Virginia is seeking a talented and passionate Bioinformatics Research Scientist to support its growing bioinformatics analysis needs. The individual will integrate their knowledge and experience into current research efforts undertaken by various Investigators, especially in analyzing large-scale genomic data with a focus on its applications in the field of microbiology.The Division boasts a team of 35 exceptional faculty members with diverse research interests, and the candidate will have the opportunity to collaborate with many of them on multiple distinct projects including microbiome, microbe strain relatedness, and developing and designing queries for virulence and resistance genes.
Requeriments :
Skills :
- Bioinformatics
- Bioinformatics Databases
- Computational Biology
- Genomics
- Linux/Unix
- Metagenomics
- Microbiology
- microbiome
- Next Generation Sequencing
- Programing in Python
- Programming in PERL
- Programming in R
- Shell scripting
Areas :
Additional Info:
The candidate is expected to work on the university-shared high-performance computing infrastructure that is tailor designed to address the substantial processing, networking and data moving challenges arising from genomic science. The candidate will also be responsible for writing manuscripts describing their work, and presenting at national/international conferences.
Required Knowledge & Skills:
· Understanding of next generation sequencing technologies, including Illumina, Nanopore, PacBio platforms, is a must
· Strong knowledge of working in a Linux environment; experience working on a high-performance computing cluster is desirable
· Advanced proficiency in Python, Perl, or another scripting language
· Advanced proficiency in R/Python (or other), for data management, data visualization and statistical analysis
· Experience in using common open-source bioinformatics tools for analyzing next-generation sequence datasets
· Prior experience working with prokaryotic whole genome sequencing data is desirable
· Prior experience working with metagenomics / metatranscriptomics datasets for microbiome research is desirable[Click Here to Access the Original Job Post]