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Opportunity: Research Associate Bioinformatics @ LSU Pennington Biomedical Research Center -- Baton Rouge, LA (US)
Submitted by J Michael Salbaum; posted on Wednesday, November 07, 2018
BACKGROUND
The Pennington Biomedical Research Center is seeking to fill a Research Associate position in Bioinformatics and Computational Biology. Pennington Biomedical, a campus of the Louisiana State University System located in Baton Rouge, Louisiana, is one of the largest academically based nutrition research centers in the world. The position is available in the COBRE Laboratory for Bioinformatics under the direction of Prof. Sujoy Ghosh. Dr. Ghosh's research applies computational systems biology approaches to understand the genetic and genomic architecture underlying metabolic disease. Additionally, the laboratory collaborates extensively with national and international investigators in cardiovascular and cancer-related disorders.
RESPONSIBILITIES
The Research Associate will have the opportunity to apply computational biology and bioinformatics methodologies on traditional transcriptomics, next generation sequencing approaches including bulk- as well as single-cell RNA-Seq, ChIP-Seq and ATAC-Seq, genome-wide association studies, and microbiome analyses that will add significant value to multiple signature research programs at PBRC.
The position provides opportunities for the development and application of innovative, cutting-edge data analytic tools and approaches to enhance the research capabilities of multiple investigators in a highly collaborative framework. Independent thinking and excellent communication skills are essential.
REQUIREMENTS
We are seeking a motivated candidate with a high level of research dedication and skill, who can quickly integrate into the research team and make productive contributions to the exciting field of high-dimensional data analysis. A Master's degree in any of the following disciplines – Bioinformatics, Statistics, Biostatistics, or Computer Science – is required.
The candidate must be familiar with handling and manipulation of large, multidimensional data sets. Skills in the use of the R statistical analysis tool as well as Python are critical, as is familiarity with a LINUX environment and multi-core computing. Expertise in publication-grade data visualization is required, and experience with additional applications (e.g. Perl, SAS, or Matlab), is highly desirable.
COMPENSATION
Salary and benefits will be commensurate with educational qualification and working experience.
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