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Genomic Variant Scientist Jobs in Silver Spring, MD

Axle

Bioinformatics Scientist

Bethesda, MD

... variant calling and analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and transcriptomes, comparative genomics of model and non-model organisms, proteomics, ChIP ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

... variant calling and analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and transcriptomes, comparative genomics of model and non-model organisms, proteomics, ChIP ...

Axle

Bioinformatics Scientist

Bethesda, MD

... variant calling and analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and transcriptomes, comparative genomics of model and non-model organisms, proteomics, ChIP ...

Staffed4U

Biologicial Data Analyst

Chantilly, VA · On-site +1

Genomic Databases * Sequence Alignment Tools * Variant Analysis * Biological Data Processing * Data Visualization * Scientific Computing Benefits Our client offers a comprehensive benefits package ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... The ideal candidate combines deep expertise in genomics analysis methods with strong software ...

All JobsGenomic Variant Scientist JobsGenomic Variant Scientist Jobs in Silver Spring, MD

Genomic Variant Scientist information

See Silver Spring, MD salary details

$37.7K

$82.1K

$142.1K

How much do genomic variant scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for genomic variant scientist in Silver Spring, MD is $82,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $96,100.00 per year, depending on experience, location, and employer.

What does a genomic variant scientist do?

A Genomic Variant Scientist specializes in identifying, analyzing, and interpreting genetic variations within DNA sequences. They use advanced bioinformatics tools and laboratory techniques to detect changes in genes that may be linked to diseases, traits, or drug responses. Their work is crucial in fields like personalized medicine, genetic research, and clinical diagnostics, helping to translate genomic data into actionable insights for patient care or scientific discovery.

What are the key skills and qualifications needed to thrive as a genomic variant scientist?

To thrive as a Genomic Variant Scientist, a deep understanding of genetics, genomics, and molecular biology is essential, usually supported by an advanced degree in a life science field. Familiarity with next-generation sequencing (NGS) technologies, variant annotation tools, and bioinformatics software such as GATK and VEP is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting complex data and collaborating with multidisciplinary teams. These skills ensure accurate variant interpretation, enabling meaningful clinical or research insights that drive advances in precision medicine.

What are the common challenges faced by genomic variant scientists when interpreting complex genetic data, and how are these addressed in a typical work environment?

Genomic Variant Scientists often encounter challenges such as distinguishing pathogenic variants from benign ones, managing large datasets, and keeping up with the rapidly evolving scientific literature. In most work environments, these challenges are addressed through collaborative teamwork with bioinformaticians, clinical geneticists, and laboratory technicians. Access to advanced computational tools, regular case discussions, and ongoing professional development opportunities help scientists stay updated and improve the accuracy of variant interpretation. This collaborative and resource-rich environment enables Genomic Variant Scientists to tackle complex cases and contribute effectively to patient care or research outcomes.

What is the difference between Genomic Variant Scientist vs Genetic Data Analyst?

AspectGenomic Variant ScientistGenetic Data Analyst
Required CredentialsBachelor's or Master's in Genetics, Genomics, or related field; experience with genomic dataBachelor's or Master's in Genetics, Bioinformatics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, biotech companies, academic institutionsHealthcare settings, research institutions, biotech firms
Industry UsageGenomics research, variant interpretation, experimental analysisData interpretation, report generation, clinical data analysis

While both roles involve working with genetic data, Genomic Variant Scientists focus on identifying and interpreting genetic variants through laboratory and computational methods. Genetic Data Analysts primarily analyze and interpret genetic data sets to support research or clinical decisions. The roles often overlap in skills and environment but differ in their core responsibilities and focus areas.

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For Genomic Variant Scientist jobs in Silver Spring, MD, the most frequently searched job titles are:

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The top searched job categories for Genomic Variant Scientist jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Genomic Variant Scientist jobs?

Cities near Silver Spring, MD with the most Genomic Variant Scientist job openings:

Genomic Variant Scientist jobs near you
Infographic showing various Genomic Variant Scientist job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 10% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $82,090 per year, or $39.5 per hour.

Bioinformatics Scientist

Axle

Bethesda, MD

Full-time

Re-posted 21 days ago

Job description

(ID: 2026-1976)
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Benefits We Offer:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Axle is seeking a highly ambitious, adaptable, structured, and detail-oriented Bioinformatics Scientist to join our vibrant team at the National Institutes of Health (NIH), National Institute of Allergy and Infectious Diseases (NIAID), Division of Intramural Research (DIR), Research Technologies Branch (RTB), Integrated Data Sciences Section (IDSS) in Bethesda, MD.

Cover Letter Required — Please Answer the Following Questions and submit application at: Bioinformatics Scientist
To be considered for this position, please upload a document as your Cover Letter that answers the six questions below. Applications submitted without this document will not be considered.

  1. What experience do you have working with large datasets and compute clusters?
  2. Describe your experience building workflows/pipelines and/or using bioinformatics software and tools to analyze data.
  3. What programming languages are you comfortable using for bioinformatics data analysis?
  4. What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.)
  5. What life science disciplines do you have experience in? (e.g., immunology, infectious disease, cancer research, etc.)
  6. Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis.


Responsibilities:

  • Address bioinformatics, scientific computing, and data analysis needs of users within the Division of Intramural Research (DIR) at NIAID and their collaborators by lending expertise in the proper statistical design of biological experiments involving high-throughput genome-scale technologies, data mining and knowledge discovery techniques, automated workflow development, statistical and scientific experimental design consulting.
  • Provide bioinformatics support to include somatic and germline variant calling and analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and transcriptomes, comparative genomics of model and non-model organisms, proteomics, ChIP-seq, ATAC-seq, and the development of high-throughput pipelines for the analysis of the above data modalities.
  • Provide programming and troubleshooting support to the Research Technologies Branch (RTB) of the National Institute of Allergy and Infectious Diseases (NIAID) and collaborating Institutes in the dissemination of research data.
  • Perform computational data analysis on genomic and clinical research data.
  • Work with staff on scientific programming and experimental design. Provide statistical support/analysis on research data.
  • Contribute to and co-author scientific publications in leading peer-reviewed journals.
  • Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, machine learning data support to NIAID scientists and investigators.
  • It is expected that the bioinformatics scientist will need strong skills in the following:
    • NGS analysis (whole-exome, whole-genome, RNA-seq, ChIP-Seq, both long- and short-read technologies, etc.)
    • Statistical modeling
    • Scripting
    • Biological interpretation

Specific Qualifications:

  • Ability to obtain and maintain a Public Trust Security clearance
  • Minimum Bachelor's degree in related field, Master's or Ph.D. preferred
  • 4+ years of experience in bioinformatics
  • 2+ years of experience developing and maintaining production bioinformatics pipelines
  • Expert in two (2) of the following languages: Python, R, C/C++, sh/bash
  • Experience building images using one (1) of the following: Docker, Podman, Singularity/Apptainer
  • Expert in one (1) pipeline framework: Snakemake, Nextflow, CWL/WDL
  • Expertise building technical and user documentation for tools, pipelines, and applications
  • Experience building pipelines locally on-premise using available HPC infrastructure
  • Experience building pipelines/applications in the Cloud with AWS/GCP/Azure is a plus
  • Experience building applications using one (1) of the following frameworks is a plus: Django, Flask, RShiny, Electron, Flutter, React
  • Experience working in a laboratory setting is a plus but not required

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.

Salary Range
$120,000—$130,000 USD