Bioinformatics Scientist / Bioinformatician

  • Location: Bethesda, MD
  • Type: Direct Hire
  • Job #33128

Position Description:

  • Develop and/or implement robust processing and analysis pipelines in support of various whole-genome sequencing projects being performed by investigators.
  • Develop and maintain public web-based genome project portals designed to increase the utility of sequencing and other large-scale data sets; this includes implementing genome browsers and visualization tools for single-cell RNAseq data.
  • Develop bioinformatic pipelines to identify and characterize retroviral integration sites. These data will be generated by the NIH Intramural Sequencing Center (NISC) using emerging sequencing technologies.
  • Optimize bioinformatic pipelines to take advantage of the NIH Biowulf high-performance supercomputing environment, parallelizing per-sample processing steps and designing methodologies to increase processing speeds and reduce network overhead. This includes working directly with NIH high-performance computing team leadership at the NIH Center for Information Technology (CIT) to ensure that infrastructure needs are in place for the successful execution of projects.
  • Actively interact with scientists in NHGRI/DIR laboratories to assess their needs with respect to massive (terabyte-sized) data sets, then develop concrete and tractable project plans for completing these projects.
  • Develop and maintain bioinformatic analysis pipelines in support of multiple laboratories pursuing gene discovery, gene therapy, and related clinical research projects within the lab.
  • Provide broad-based programming and analytic support for a wide variety of bioinformatic and genomic research projects. This includes the development of software pipelines for the processing and analysis of exome and genome sequencing data, bulk and single-cell RNA-seq data, ATAC-seq data, and ChIP-seq data.
  • Share scientific information by writing portions of scientific manuscripts and presenting data in seminars and poster sessions.
  • Collaborate with staff on teaching activities, in both small- and large-group fora.
  • Provide one-on-one training to bioinformatics trainees with regards to all aspects of developing new pipelines for the analysis of high-throughput data and the optimization of code for use in supercomputing environments.
  • Provide detailed project documentation so that all methodologies can be reproduced and applied to similar studies in the future.


  • Ph.D. in genomics, bioinformatics, or a related discipline. Three (3) years of specialized experience plus a Master’s degree considered to be equivalent to a Ph.D.
  • A minimum of (2) years of post-degree relevant bioinformatics experience.
  • Two (2) years professional experience programming in Perl, Python or an equivalent scripting language.
  • Demonstrated experience in developing and deploying applications on UNIX or Linux platforms in a high-performance computing (HPC) environment.
  • Knowledge and demonstrated experience analyzing other types of next-generation sequencing data, (e.g., RNA-seq, ChIP-seq, or related data).
  • Demonstrated success in sharing scientific information, through the writing of scientific manuscripts and the oral presentation of data in seminars and poster sessions.
  • Strong communications skills, both oral and written.
  • Fluency in both written and spoken English.
  • Excellent analytical, interpersonal, organizational and time management skills.
  • Proven critical-thinking skills and demonstrated ability to manage and interpret large biological data sets.


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Equal Employment Opportunity (EEO) Information

While the position you're applying for may not be for a government role, Astrix is a governmental contractor and, as such, is required to collect certain information in its applicants. Astrix is an Equal Opportunity Employer and does not discriminate against any applicant for employment, or any employee because of age, color, sex, disability, national origin, race, religion, or veteran status. Completion of these fields will not affect your opportunity for employment or the terms or conditions of your employment.

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