Bioinformatics Analyst | TELECOMMUTE |

100% TELECOMMUTE Hours: Typically between 9AM-5PM Central Time. Description:

• We have an exciting contract opportunity for a Bioinformatics analyst within the Genomics Research Center to support our internal research team.
• The successful candidate will be part of the Emerging Technology Team and will be responsible for all aspects of bioinformatics analysis for a variety of novel and standard NGS experiments including quality control, platform validation, differential gene/protein expression, whole genome mapping and variant calling.
• The successful candidate will work closely with multiple senior computational biologists to support data processing and analysis.
• Careful attention to details, timely delivery of results, and ability to handle multiple projects are essential part of the ideal candidate.
• This candidate should also have demonstrated previous experience analyzing variety of different Omic data, especially Whole Genome Sequencing (WGS), be comfortable using R/Python for data wrangling, and possess excellent communication skills.

TOP 5 SKILLS:

• Proficient in using R to do basic data analysis (processing, plotting...)
• Comfortable working with NGS data using open source tools
• Ability to communicate results to scientists with broad range of expertise
• Familiarity with basics of statistical modeling
• proficient working in UNIX environment, comfortable with unix scripting language (Bash, Perl, Python), experienced working with job scheduler like SLURM

Education/Experience:

• B.S. in Bioinformatics/Biostatistics/CS with 6+ years of experience
• M.S. in Bioinformatics/Biostatistics/CS with 4+ years of experience.
• Ph.D. in Bioinformatics/Biostaistics/CS with 1+ years of experience

Preferred:

• Prior experience in CAP or CLIA Lab (comfortable running standardized pipelines, analysis and generate reports according to well defined guidelines)
• Experience analyzing 'omic data sets (e.g. WGS, RNAseq, proteomics).
• Experience with gene ontology and pathway enrichment analysis.
• Proficient in literature search to identify relevant public data sets to support and interpret internally generated results.
• Experience with Limma and/or Dream for differential gene expression analysis with linear mixed models.
• Experience working with NGS data from non-human animals.
• Experience managing project(s) involving multiple stakeholders and facilitating information exchange

Required Skills : Data Analysis,UNIX