Bioinformatics Analyst | TELECOMMUTE |

🌍 Remote, USA πŸš€ Full-time πŸ• Posted Recently

Job Description

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

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