Air Force Research Labs Seeking Postdoc-level Computational Biologist for Microbial Genomics Position

 The Air Force Research Laboratory near Dayton, OH is seeking a Computational Biologist with experience in microbial genomics. The successful candidate will have the opportunity to work across multiple collaborative projects in the areas of microbial biofouling and corrosion, polymicrobial interactions of DoD relevant microbial communities, and mechanisms of polymer biodegradation. The selected candidate will use informatics to assemble, annotate, and perform comparative analyses of both bacteria and fungi to aid in generation of testable hypotheses. This role requires effective teamwork and communication of results with colleagues from diverse backgrounds.

Functions for this Role will also Include:

  • Transcriptomics of bacteria and fungi communities including differential expression analyses and identifying upregulated proteins
  • Analysis and interpretation of microbial community data using network analyses and visualization tools
  • Informatics on enriched and complex microbial communities generated from metagenomics and metatranscriptomics including assembly, binning, annotation, enzyme mining, and phylogenetic analyses
  • Documentation and presentation of research progress in the forms of reports, publications, and oral presentations
  • Travel to scientific reviews and conferences

Required Qualifications:

  • Ph.D. (or M.Sc. with 5+ years of relevant experience) in Computational Biology, Bioinformatics, or Microbial Genomics
  • Demonstrated success in applying open source software and in developing novel algorithms for the comparative analysis of genomes
  • Deep understanding of phylogenetic analyses and comparative genomics methods
  • Fluent in major scripting languages such as Python or Perl, and proficient in using the command line in Unix environments
  • Previous experience in comparative genomics or an understanding of secondary metabolite biosynthesis is highly desirable
  • Experience in applying machine learning algorithms or statistical methods to solving biological problems is desirable
  • Demonstrated understanding of relevant public genomic databases
  • Ability to work effectively in a multidisciplinary team, and communicate results clearly to non-computational scientists
  • Excellent organizational skills
  • This position is working on-site at a government facility and requires U.S. citizenship

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