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Computational Biology Specialist - Metagenomics

Job in Rockville, Montgomery County, Maryland, 20849, USA
Listing for: RiseMe
Full Time position
Listed on 2026-09-27
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 98000 - 163000 USD Yearly USD 98000.00 163000.00 YEAR
Job Description & How to Apply Below

Job Family:

Scientific Research & Analysis

Travel Required:

Up to 10%

Clearance Required:

Ability to Obtain Public Trust

We are seeking a Computational Biologist candidate with extensive experience in metagenomics to join our Bioinformatics team at the NIH. The computational biologist will independently support –omics projects, specifically metagenomics projects as well as others as needed, initiated by researchers and clinicians at the National Institute of Allergy and Infectious Diseases (NIAID) in the National Institutes of Health (NIH). This opportunity is a full-time position with Guidehouse and can be remote or on-site at NIH in Rockville, MD.

The candidate will work within a multidisciplinary team of scientists who provide support, training, and consultation to the research community in bioinformatics and computational biosciences.

The successful candidate will have strong expertise in metagenomic methodologies, bioinformatics tools, and biostatistical approaches, including 16S rRNA gene sequencing, shotgun metagenomics, and long-read metagenomics. This individual will serve as a subject matter expert in metagenomics, providing technical leadership, mentorship, and guidance to colleagues and collaborators.

The candidate should be a highly collaborative, self-directed professional who can take ownership of projects, set priorities independently, and drive work to completion. Experience designing metagenomic studies and analyzing data using relevant scientific computing software, open-source tools and libraries, data-intensive workflows, and distributed high-performance computing systems is highly desirable.

The successful candidate must also have excellent written and verbal communication skills and be able to engage effectively with the research community to understand diverse scientific analysis and computing needs and identify appropriate solutions.

What You Will Do:
  • Implement, design, develop, and innovate current and emerging computational biology and bioinformatics algorithms aimed to process, analyze, manage, interpret and visualize original scientific data
  • Enter into scientific collaborations with physicians and scientists that include the potential for authorships and acknowledgements in publications
  • Must be able to obtain and maintain a Federal or DoD “public trust”; candidates must receive approved adjudication prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred.
  • Gather detailed information from stakeholders and identify existing tools or develop novel algorithms/tools for performing custom and novel analyses
  • Develop, maintain, document, and deliver training materials and sessions that support collaborators and researchers in applying metagenomics methods and high-throughput data processing workflows.
  • Research, design, and deliver educational materials that promote broader adoption and effective use of computational biology techniques, tools, and software among NIH researchers.
  • Aid collaborators in the design of new study projects, providing advice, and guidance for sequencing methods and analytical or statistical considerations for meeting project goals
  • Provide researchers and collaborators with on-demand support and troubleshooting in the use of computational biology software and pipelines related to metagenomics and high-throughput sequencing
  • Stay current on computational biology literature, emerging technologies, methods, and tools.
  • Partner with software developers to develop and integrate metagenomics software solutions within enterprise platforms
What You Will Need:
  • Masters or Ph.D. in computational biology, microbiology, statistics or related life, physical, or computational sciences with at least TWO (2) publications…
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