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Genomic Variant Scientist Jobs in Alabama (NOW HIRING)

Tuskegee University

Develop and implement bioinformatics pipelines for variant calling, structural variant detection ... Collaborate with wet-lab scientists to integrate genomic data with experimental results.

All JobsGenomic Variant Scientist JobsGenomic Variant Scientist Jobs in Alabama

Genomic Variant Scientist information

See Alabama salary details

$33.1K

$72K

$124.6K

How much do genomic variant scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for genomic variant scientist in Alabama is $71,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,100.00 and $84,300.00 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.

What are popular job titles related to Genomic Variant Scientist jobs in Alabama?

For Genomic Variant Scientist jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Genomic Variant Scientist jobs in Alabama look for?

The top searched job categories for Genomic Variant Scientist jobs in Alabama are:

What cities in Alabama are hiring for Genomic Variant Scientist jobs?

Cities in Alabama with the most Genomic Variant Scientist job openings:

Genomic Variant Scientist jobs near you
Infographic showing various Genomic Variant Scientist job openings in Alabama as of June 2026, with employment types broken down into 4% As Needed, 67% Full Time, 18% Part Time, and 11% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $71,974 per year, or $34.6 per hour.

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

Tuskegee, AL • On-site

$125 - $150/hr

Other

Re-posted 2 days ago

Job description

Research Assistant Professor-Genomic Sequencing Data Analysis

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.

  • 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

FLSA Exempt

Status

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.
Additional Employment Details

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

Vacancies

Number of Vacancies 1

Open Date

04/07/2026

Open Until Filled

No

Documents Needed to Apply

Required Documents

  • Resume
  • Cover Letter
  • Transcript 1
  • Letter of Recommendation 1
  • Letter of Recommendation 2
  • Letter of Recommendation 3
Optional Documents
  • Other
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