ShortlistFox
← Back to results

Bioinformatician, Part-time - Genetics & Genomic Sciences

ejis.fa.us6|cx

United States

  • Part Time
Apply

About the role

The Bioinformatician, Part-Time, partners with researchers/biologists on innovative genomic analyses of structural variation, epigenetics, and gene expression in an integrated environment combining experimental and bioinformatic approaches to human disease.    S/he leads a variety of projects and gains exposure to many productive areas of research, and develops/supports multiple research projects by delivering bioinformatics services for bio-medical data from cutting-edge genomic technologies.

  • Develops and may perform a lead role for a variety of bioinformatics analysis projects, including development of Varimpact, an impact database of generic variants.
  • Writes custom scripts for analysis of genomic data derived from high-throughput techniques
  • Manages databases, conducts statistical and genomic analysis, and participates in the preparation of manuscripts and presentations.
  • Collaborates with wet-bench biologists and works independently to analyze data derived from several types of projects using microarrays and high-throughput sequencing.
  • Conducts analysis of microarray and high-throughput sequencing data, genome sequence analysis, experimental design and statistical analysis.
  • Performs quality control and analysis.
  • Other related duties as assigned.

     

  • M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics.  Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. PhD in a related field preferred.  Those with a Bachelor’s degree and additional post-graduate experience are considered.
  • 4 years of experience in research environment, including 2 years, manipulating large biological datasets.           Advanced knowledge of genetics and/or statistics analysis software and online resources. Experience in programming environments such as Matlab, R statistical package, BioConductor, Perl and  C++.