ZipRecruiter

Log In

1

Genomic Variant Analyst Jobs in Texas (NOW HIRING)

QUEST DIAGNOSTICS INC

Scientist - Fellow

Lewisville, TX · On-site

$120 - $160/hr

Experience with oncology genomics and somatic variant analysis Preferred Work Experience * Experience in NGS workflow development * Strong analytical skills with the ability to interpret and ...

New

Quest Diagnostics

Scientist - Fellow

Lewisville, TX · On-site

Experience with oncology genomics and somatic variant analysis Preferred Work Experience * Experience in NGS workflow development * Strong analytical skills with the ability to interpret and ...

Natera

Assistant Laboratory Director

Austin, TX · On-site

... analysis, NGS, and other methodologies. * Oversee the review of genetic and CNV variant data ... genetic/genomic data. * Knowledge of CAP, CLIA, California, and New York state regulations.

Natera

Assistant Laboratory Director

Austin, TX · On-site

... analysis, NGS, and other methodologies. * Oversee the review of genetic and CNV variant data ... genetic/genomic data. * Knowledge of CAP, CLIA, California, and New York state regulations.

next page

Showing results 1-20

All JobsGenomic Variant Analyst JobsGenomic Variant Analyst Jobs in Texas

Genomic Variant Analyst information

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.

How much do genomic variant analysts make?

Genomic variant analysts typically earn a median annual salary of around $70,000 to $90,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn over $100,000 annually.

What are popular job titles related to Genomic Variant Analyst jobs in Texas?

For Genomic Variant Analyst jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Genomic Variant Analyst jobs in Texas look for?

The top searched job categories for Genomic Variant Analyst jobs in Texas are:

What cities in Texas are hiring for Genomic Variant Analyst jobs?

Cities in Texas with the most Genomic Variant Analyst job openings:

Genomic Variant Analyst jobs near you
Infographic showing various Genomic Variant Analyst job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Bioinformatics Software Engineer

Morpheus Group

Houston, TX • On-site

Full-time

Re-posted 8 days ago

Job description

We are seeking an experienced Senior/Staff-Level Bioinformatics Software Engineer to provide technical leadership in the design, development, and enhancement of advanced bioinformatics software solutions. This role combines software engineering, computational biology, and data science expertise to support genomic data analysis, next-generation sequencing (NGS) workflows, and the development of scalable analytical platforms.
Key Responsibilities
  • Architect and develop innovative bioinformatics applications, analytical tools, and data processing solutions.
  • Lead the creation and optimization of genomic analysis pipelines focused on sequence interpretation, variant detection, and complex biological data analysis.
  • Partner with scientists, researchers, and cross-functional stakeholders to design studies, analyze results, and translate biological requirements into software solutions.
  • Drive technical strategy and contribute to architectural decisions for current and future software platforms.
  • Improve development processes through automation, best practices, and modern engineering methodologies.
  • Mentor engineering team members and serve as a technical resource across projects. Desired Qualifications
  • Strong background in bioinformatics software development with expertise in NGS data analysis and genomic workflows.
  • Experience working with common bioinformatics formats and tools, including sequencing alignment, variant analysis, and quality control frameworks.
  • Advanced programming skills in Python, R, or similar languages used in scientific computing.
  • Proficiency with Linux environments, cloud computing platforms, and workflow orchestration tools.
  • Experience with software development best practices, source control, testing methodologies, and containerized environments.
  • Excellent communication, leadership, and collaboration skills with the ability to work effectively across scientific and technical teams.

Background
  • Bachelor's degree in Computer Science, Bioinformatics, Data Science, Statistics, Mathematics, or a related field required; advanced degrees preferred.
  • Approximately 7+ years of experience in software engineering, bioinformatics, computational biology, or a related discipline, including demonstrated technical leadership.

This opportunity is ideal for a bioinformatics professional who enjoys leading complex technical initiatives, building scalable genomics solutions, and working at the intersection of software engineering and life sciences