The Henry M. Jackson Foundation For The Advancement Of Military Medicine-posted about 1 year ago
$73,800 - $89,000/Yr
Full-time • Entry Level
Remote • Silver Spring, MD
Hospitals

The Computational Research Scientist position at the Henry M. Jackson Foundation focuses on designing and executing computational and statistical analyses of transcriptomic and viral sequence data related to HIV-1 infection and vaccine studies. The role supports the Animal Models & Viral Persistence Section of the Military HIV Research Program, contributing to research aimed at advancing HIV-1 prevention and therapeutic applications.

  • Evaluates, analyzes, and customizes next generation sequence analysis protocols for various sequencing applications.
  • Develops new RNA-seq, Exome seq, and genome analysis pipelines and procedures.
  • Conducts data-driven and hypothesis-directed genomics research.
  • Assists with the report of experimental results for publication in technical and peer-reviewed journals.
  • Contributes and edits data, text, and figures in program publications.
  • Presents research in oral communications at internal meetings and international scientific conferences.
  • Collaborates closely with interdisciplinary team members.
  • May supervise junior informatics staff.
  • May perform other duties and responsibilities as assigned or directed by the supervisor.
  • Doctoral Degree in Computational Biology or Bioinformatics.
  • 0-2 years of experience in a relevant field.
  • Research experience in computational genomics or biostatistics demonstrated through publications.
  • Programming ability in R (or other statistical language).
  • Scripting language proficiency (Perl, Python, or comparable).
  • Experience with C/C++, Java or comparable language.
  • Experience with next-generation sequencing analysis, including alignment, quality assessment, variant detection, and statistical inference.
  • Experience with pipeline development and implementation on compute clusters.
  • Excellent oral and written communication skills.
  • Understanding of clinical and immunologic data.
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Retirement plan
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