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Genomic Variant Analyst Jobs (NOW HIRING)

Tuskegee University

Develop and implement bioinformatics pipelines for variant calling, structural variant detection ... Strong track record of peer-reviewed publications in genomic data analysis. * Excellent problem ...

Ambry Genetics

$110K - $114K/yr

The Clinical Genomic Scientist II is highly proficient in variant classification guidelines and in ... analysis Thorough and ongoing knowledge of current theories and principles of human genetics ...

Baylor Genetics

Lead Bioinformatics Scientist

... genomics applications, pipeline development, secondary and tertiary analysis, variant prioritization and interpretation, clinical application, and so forth. The successful candidate will combine deep ...

Washington University of St. Louis

$17.10 - $29.09/hr

Conduct variant analysis and curation, helping to identify genomic variants underlying rare disease. * Maintain and manage large datasets, including data storage and data transfer of genomic data.

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Genomic Variant Analyst information

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$117.5K

How much do genomic variant analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for genomic variant analyst in the United States is $73,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What does a genomic variant analyst do?

A Genomic Variant Analyst is a specialist who examines genetic data to identify and interpret variations within genomes, such as mutations or structural changes in DNA. Their work is crucial for understanding genetic contributions to diseases, guiding clinical decision-making, and advancing personalized medicine. They use bioinformatics tools and databases to analyze sequencing data, annotate variants, and assess their significance. Genomic Variant Analysts often collaborate with clinicians, researchers, and laboratory staff to ensure accurate and meaningful interpretation of genomic information.

What are the key skills and qualifications needed to thrive as a genomic variant analyst, and why are they important?

To thrive as a Genomic Variant Analyst, you need a strong background in genetics, molecular biology, and bioinformatics, typically supported by a relevant degree such as in genomics or computational biology. Experience with genomic data analysis tools (like GATK, VEP, or IGV), next-generation sequencing (NGS) platforms, and familiarity with databases such as ClinVar are essential. Attention to detail, problem-solving skills, and effective communication are important soft skills for interpreting results and collaborating with multidisciplinary teams. These capabilities ensure accurate variant identification, meaningful clinical interpretations, and successful integration of genomic data into research or healthcare.

What are some common challenges faced by genomic variant analysts when interpreting complex genetic data, and how are they addressed?

Genomic Variant Analysts often encounter challenges such as distinguishing between benign and pathogenic variants, managing large volumes of sequencing data, and staying updated with rapidly evolving databases and guidelines. To address these, analysts rely on established variant classification frameworks, utilize collaborative review with clinical teams, and leverage specialized bioinformatics tools. Continuous professional development and participation in case discussions help ensure accurate interpretations and effective collaboration with genetic counselors and physicians.

What is the difference between Genomic Variant Analyst vs Bioinformatics Technician?

AspectGenomic Variant AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Genetics, Bioinformatics, or related field; experience with genomic data analysisAssociate's or Bachelor's in Bioinformatics, Computer Science, or related field; basic scripting skills
Work EnvironmentLaboratories, research institutions, biotech companiesResearch labs, hospitals, biotech firms, computational environments
Employer & Industry UsageGenomics research, clinical labs, pharmaceutical companiesData processing, supporting genomic research, data management

The Genomic Variant Analyst focuses on interpreting genetic variations and analyzing sequencing data, often requiring advanced bioinformatics skills. In contrast, the Bioinformatics Technician typically handles data management, basic analysis, and supporting research activities. While both roles work within genomics and bioinformatics, the analyst role involves more complex data interpretation and analysis, whereas the technician provides essential support functions.

More about Genomic Variant Analyst jobs
What cities are hiring for Genomic Variant Analyst jobs? Cities with the most Genomic Variant Analyst job openings:
What states have the most Genomic Variant Analyst jobs? States with the most job openings for Genomic Variant Analyst jobs include:
What job categories do people searching Genomic Variant Analyst jobs look for? The top searched job categories for Genomic Variant Analyst jobs are:
Genomic Variant Analyst jobs near you
Infographic showing various Genomic Variant Analyst job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $73,532 per year, or $35.4 per hour.

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

On-site

Full-time

Re-posted yesterday

Job description

Position Details
To create a Posting, first complete the information on this screen, then click the Next button or select the page in the left hand navigation menu. Proceed through all sections completing all necessary information. To submit the Posting to Human Resources, you must go to the Posting Summary Page by clicking on the Next button until you reach the Posting Summary Page or select Posting Summary Page from the left navigation menu. Once a summary page appears, hover your mouse over the orange Action button for a list of possible approval step options.
Position Information
Position Title
Research Assistant Professor-Genomic Sequencing Data Analysis
Job Summary
We are seeking a highly skilled and motivated Research Assistant Professor with expertise in genomic sequencing data analysis to join our multidisciplinary research team. The successful candidate will lead computational and statistical analyses of large-scale genomic datasets, including whole-genome, whole-exome, and transcriptomic sequencing, to advance projects in cancer biology, precision medicine, and related biomedical fields. This position offers the opportunity to develop independent research while contributing to collaborative team science.
Essential Job Duties
  • Perform high-quality computational analysis of next-generation sequencing (NGS) data, including short and long-read whole-genome, whole-exome, RNA-seq, and spatial transcriptomics datasets.
  • Develop and implement bioinformatics pipelines for variant calling, structural variant detection, transcriptome profiling, and integrative multi-omics analyses.
  • Apply statistical and machine learning approaches to identify genomic alterations, biomarkers, and functional networks.
  • Collaborate with wet-lab scientists to integrate genomic data with experimental results.
  • Contribute to manuscript preparation, figure generation, and presentation of findings at scientific conferences.
  • Write and contribute to competitive grant applications, providing preliminary data and computational expertise.
  • Mentor graduate students, postdoctoral fellows, and research staff in computational genomics.
  • Maintain data management, quality control, and reproducibility standards in accordance with institutional and funding agency guidelines,

Preferred Qualifications
  • Ph.D. or equivalent degree, with postdoctoral training in bioinformatics, computational biology, genomics, computer science, statistics, or related field.
  • Demonstrated expertise in NGS data analysis, including quality control, alignment, variant calling, and downstream interpretation.
  • Proficiency with bioinformatics tools (e.g., GATK, samtools, bcftools, STAR, HISAT2, Cell Ranger, Seurat) and programming languages (e.g., Python, R, Bash).
  • Experience working with high-performance computing and cloud-based analysis platforms.
  • Experience with cancer genomics, single-cell and spatial transcriptomics, or epigenomic data analysis.

Physical Demands
FLSA
Exempt
Status
Full-Time
Skills and Attributes
  • Familiarity with database development, workflow management systems (e.g., Nextflow, Snakernake), and reproducible research practices (e.g., Docker, Git).
  • Strong track record of peer-reviewed publications in genomic data analysis.
  • Excellent problem-solving, organizational, and communication skills.
  • Ability to work effectively in multidisciplinary research teams.

Posting Detail Information
Posting Number
Will this position required travel?
yes
Will this position required night, weekend, and after hour work?
yes
Will this positon be supported using grants or contract funding?
yes
Number of Vacancies
1
Desired Start Date
Position End Date (if temporary)
Open Date
04/07/2026
Close Date
Open Until Filled
No
Special Instructions Summary
Each applicant, including all current employees, must complete and submit the following documents:
  • Tuskegee University employment application
  • Cover Letter
  • Resume/CV
  • Recommendation letters
  • Copies of unofficial transcripts.
  • Please note that official transcripts(s) will be required upon hire

Quick Link for Internal Postings
https://tuskegee.peopleadmin.com/postings/3659

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