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Clinical Variant Analyst Jobs in Silver Spring, MD

Axle

Bioinformatics Scientist

Bethesda, MD

Provide bioinformatics support to include somatic and germline variant calling and analysis, single ... Perform computational data analysis on genomic and clinical research data. * Work with staff on ...

Axle

Bioinformatics Scientist

Bethesda, MD

Provide bioinformatics support to include somatic and germline variant calling and analysis, single ... Perform computational data analysis on genomic and clinical research data. * Work with staff on ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

Provide bioinformatics support to include somatic and germline variant calling and analysis, single ... Perform computational data analysis on genomic and clinical research data. * Work with staff on ...

All JobsClinical Variant Analyst JobsClinical Variant Analyst Jobs in Silver Spring, MD

Clinical Variant Analyst information

See Silver Spring, MD salary details

$18

$41

$64

How much do clinical variant analyst jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for clinical variant analyst in Silver Spring, MD is $41.15, according to ZipRecruiter salary data. Most workers in this role earn between $32.55 and $47.21 per hour, depending on experience, location, and employer.

What is the highest paying job in genetics?

In genetics, roles such as genetic counselors, clinical geneticists, and research directors tend to have the highest salaries. Senior positions requiring advanced degrees, certifications, and extensive experience typically offer the highest compensation in the field.

What is a Clinical Variant Analyst?

A Clinical Variant Analyst is a professional who interprets and analyzes genetic variants identified through clinical genetic testing. Their main role is to evaluate DNA sequence changes to determine their significance in relation to health and disease. They collaborate with geneticists, laboratory scientists, and clinicians to classify variants according to established guidelines and help inform patient diagnoses and management. Additionally, Clinical Variant Analysts review scientific literature, use databases, and may contribute to research and quality improvement in genetic testing.

What are some common challenges Clinical Variant Analysts face when interpreting genetic data, and how can they be addressed?

Clinical Variant Analysts often encounter challenges such as distinguishing between benign and pathogenic variants, managing large datasets, and keeping up with rapidly evolving scientific literature. Addressing these challenges requires strong analytical skills, familiarity with bioinformatics tools, and ongoing collaboration with genetic counselors, laboratory directors, and clinicians. Staying current through continuous education and attending case discussions or multidisciplinary meetings also helps analysts provide accurate and clinically relevant interpretations.

What are the key skills and qualifications needed to thrive as a Clinical Variant Analyst, and why are they important?

To thrive as a Clinical Variant Analyst, you need a strong background in genetics, molecular biology, and bioinformatics, typically supported by a relevant degree such as in genetics or molecular biology. Familiarity with next-generation sequencing (NGS) platforms, variant interpretation databases (like ClinVar), and clinical reporting software is commonly required, along with certifications such as ACMG variant interpretation training. Attention to detail, analytical thinking, and effective communication are vital soft skills for accurately interpreting genetic data and collaborating with clinical teams. These skills ensure accurate variant classification and reporting, directly impacting patient diagnosis and care.

What is the highest paying analyst job?

Among analyst roles, senior or specialized positions such as data science managers, financial directors, or clinical research directors tend to have the highest salaries. Clinical Variant Analysts with advanced certifications and experience in genomic data analysis can also command higher compensation, especially in biotech or pharmaceutical industries.

What does a variant analyst do?

A clinical variant analyst examines genetic data to identify and interpret variations in DNA sequences that may be linked to diseases. They analyze sequencing results using bioinformatics tools, review scientific literature, and collaborate with healthcare professionals to determine the clinical significance of genetic variants. This role often requires knowledge of genetics, molecular biology, and proficiency with data analysis software.

What biology jobs pay over $100k?

Clinical Variant Analysts and other specialized genetics professionals can earn over $100,000 annually, especially with advanced degrees, certifications, and experience in genomic analysis, bioinformatics, or laboratory management. High-paying roles often require proficiency with tools like next-generation sequencing and knowledge of genetic databases, typically found in research institutions or biotech companies.
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Clinical Variant Analyst jobs near you
Infographic showing various Clinical Variant Analyst job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% Locum Tenens, 87% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $85,588 per year, or $41.1 per hour.

Artificial Intelligence SME

Tunnell Government Services

Washington, DC • On-site

Other

Posted yesterday

Job description

Artificial Intelligence SME
A Subject Matter Expert (SME) in artificial intelligence with a focus on healthcare and biomedical research is needed to provide contracted support to the Biomedical Advanced Research and Development Authority (BARDA), within the U.S. Department of Health and Human Services (HHS) in Washington, DC. The mission of BARDA is to develop and procure medical countermeasures (MCM) that address the public health and medical consequences of chemical, biological, radiological, and nuclear (CBRN) accidents, incidents and attacks, pandemic influenza, and emerging infectious diseases. Specifically, BARDA supports the advanced development and procurement of drugs, vaccines and other products that are considered priorities for national health security. For more information on BARDA please visit their website at: http://www.phe.gov/about/BARDA/Pages/default.aspx
Specifically, this individual will provide strategic, technical, and scientific expertise on the application of artificial intelligence (AI), machine learning (ML), and advanced data analytics to BARDA's mission of developing and procuring medical countermeasures (MCMs) for public health emergencies. The AI SME will advise leadership, program managers, and technical teams on the integration of AI technologies across BARDA's programs, ensuring the agency remains at the forefront of innovation in biodefense, pandemic preparedness, and health security.

Major Duties & Responsibilities:

  • Advise BARDA leadership on emerging trends, opportunities, and risks in AI and related technologies for vaccines and/or therapeutics development.
  • Provide subject matter expertise to BARDA divisions in evaluating AI-enabled technologies, tools, and proposals.
  • Assess AI approaches used in diagnostics, therapeutics, and vaccines including review of algorithms and algorithm performance
  • Guide the design, implementation, and validation of AI applications to ensure scientific rigor, transparency, and compliance with federal policies.
  • Contribute to the formulation of policies, standards, and ethical frameworks governing AI use within BARDA.
  • Perform expert analysis and provide recommendations for applications of machine learning/artificial intelligence tools and capabilities to field of biotech research and development (e.g. digital health, drug discovery and design, clinical validation).
  • Evaluating diverse data sets for use with AI products/tools, such as EHR, claims, laboratory/clinical data, physiological data, genomic data, viral variant data, and/or social determinants of health data.
  • Advising on improvements to data collection and curation, developing standards, and developing data use and sharing agreements to enable AI applications
  • Advising R&D partnerships developing artificial intelligence products/tools to improve model function, design clinical validation studies, and implement production deployment and maintenance processes.


Requirements:

  • Advanced degree (Ph.D. or M.S) in Computer Science, Data Science, Engineering, Bioinformatics, or a related field
  • 15+ years of experience in vaccines and/or therapeutics development
  • Minimum of 8-10 years of experience applying AI/ML in healthcare, biomedical research, or health security contexts
  • Demonstrated expertise in algorithm development, data modeling, and AI governance
  • Demonstrated ability to communicate complex AI concepts to diverse stakeholders
  • Demonstrated experience serving as technical expert and leader in machine learning/artificial intelligence, data analytics, and algorithm development using medical and/or biological data.
  • Demonstrated understanding of software development principles and cloud-based platforms and services relevant to AI development.
  • Expertise in understanding artificial intelligence model function, clinical validation, production deployment, and ongoing maintenance

Must be a US Citizen or Full Green Card holder.

Apply