Job ID: 204059
Job date: 2017-09-25
End Date:
Company : University of Rochester Country : Role : Programmer
Job date: 2017-09-25
End Date:
Company : University of Rochester Country : Role : Programmer
Job Description:
The Genomics Research Center (GRC) at the University of Rochester is seeking a highly trained and motivated bioinformatician to join its bioinformatics team. The GRC Bioinformatics Group routinely performs analysis of data including, but not limited to mRNA-seq, micro RNA-seq, total RNA-seq, ChIP-seq, ATAC-seq, whole genome and exome sequencing, methylation sequencing, and micro array. Specifically, the candidate will work under the supervision of the Co-director of the GRC and Senior Bioinformatician Project Leads to quality control raw data, identify dysregulated gene and pathways, and integrate disparate datasets into regulatory frameworks. In addition, daily responsibilities of data management, experimental design, optimization and maintenance of computational workflows, incorporation of new methodologies, and providing interpretable results to aid in hythothesis generation are expected. Limited international travel is required (<2 weeks per year). Typical Duties:
Additional Info:
Opening: Full Time 40 hours Grade 054 Functional Genomics Schedule: 8:30 AM-5 PM How To Apply: All applicants must apply online. EOE Minorities/Females/Protected Veterans/Disabled [Click Here to Access the Original Job Post]
The Genomics Research Center (GRC) at the University of Rochester is seeking a highly trained and motivated bioinformatician to join its bioinformatics team. The GRC Bioinformatics Group routinely performs analysis of data including, but not limited to mRNA-seq, micro RNA-seq, total RNA-seq, ChIP-seq, ATAC-seq, whole genome and exome sequencing, methylation sequencing, and micro array. Specifically, the candidate will work under the supervision of the Co-director of the GRC and Senior Bioinformatician Project Leads to quality control raw data, identify dysregulated gene and pathways, and integrate disparate datasets into regulatory frameworks. In addition, daily responsibilities of data management, experimental design, optimization and maintenance of computational workflows, incorporation of new methodologies, and providing interpretable results to aid in hythothesis generation are expected. Limited international travel is required (<2 weeks per year). Typical Duties:
- Analyze high-throughput sequencing data generated on high-throughput sequencing instruments.The sequence data will include: 1) genome sequence data from experimental approaches such as whole genome sequencing, exome sequencing, ChiP-Seq, and targeted resequencing panels 2) RNA-seq data from tissues, cells and bacteria and 3) epigenetic (ATAC, methylation) data from tissue and cells populations.Analysis will include assessment of primary sequence data quality.This requires an extensive working knowledge of linux/unix commands, computer programming languages and application of open-source software tools.
- Participate in experimental design and analysis of sequencing projects.This includes application and development of novel analytical methods to meet each project’s research goals, management of project milestones, and integration of multiple genomic data types.
- Secondary analyses of processed data including expression profiling, pathway enrichment analysis, functional annotation, transcription factor binding site prediction, putative motif identification, and chromatin accessibility prediction.
- Provide bioinformatics support and training to research groups, including use of various software for analysis of genomic data, assistance in analysis and interpretation of data sets, and recommendation of best practices for sequencing experiments.
- Storage and maintenance (data management) of raw data including but not limited to micro array and high-throughput sequence data sets.
Requeriments :
Skills :
- Lunix/Unix
- Microarray
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
- RNA-seq
- Statistics
Additional Info:
Opening: Full Time 40 hours Grade 054 Functional Genomics Schedule: 8:30 AM-5 PM How To Apply: All applicants must apply online. EOE Minorities/Females/Protected Veterans/Disabled [Click Here to Access the Original Job Post]