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Variant Analyst Jobs in Texas (NOW HIRING)

Experience * 2 years experience in genomic data processing, variant annotation, or large-scale data analysis * Demonstrated proficiency in R and/or Python, SQL, Linux/Unix environments, and common ...

They analyze project specifications, review drawings and data sheets, and collaborate with various ... variant-ligatures: none !important; font-weight: 400; letter-spacing: normal; line-height: 17 ...

PLM Process Analyst

Houston, TX

$58K - $78K/yr

Analyst will work in collaboration with a multidisciplinary team globally across all product ... Knowledge of engineering processes related to product definition, BOM structuring, variant ...

... Data Analyst handles scripted cleanup and pricing updates, our Ecommerce Director manages the ... Create and maintain the master variant attribute mapping (e.g., consolidating hundreds of ...

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Variant Analyst information

See Texas salary details

$28.9K

$68.3K

$121.1K

How much do variant analyst jobs pay per year?

As of Aug 4, 2026, the average yearly pay for variant analyst in Texas is $68,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $81,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the variant analyst position?

To thrive as a Variant Analyst, you need a solid background in genetics or molecular biology, experience in data analysis, and a relevant bachelor's or advanced degree. Familiarity with bioinformatics tools such as Variant Call Format (VCF) analysis software, genomic databases, and proficiency in scripting languages like Python or R is highly valued, as is certification in clinical genetics or genomics. Strong attention to detail, analytical thinking, and effective communication skills distinguish top candidates in this field. These skills and qualities ensure accurate variant interpretation, effective cross-functional collaboration, and meaningful contributions to diagnostics or research.

What are the typical daily responsibilities of a variant analyst?

A Variant Analyst typically spends their day analyzing genetic sequencing data to identify, classify, and interpret genetic variants of clinical or research significance. They utilize specialized bioinformatics software to process raw data, review scientific literature for evidence supporting variant classification, and document their findings in detailed reports. Collaboration is common, as analysts often work closely with laboratory geneticists, clinicians, and other members of a multidisciplinary team to ensure accurate and relevant results. Staying updated with the latest guidelines and advances in genomics is also an important part of the role.

What is a variant analyst?

A Variant Analyst is a professional who analyzes genetic variations in DNA sequences to identify mutations associated with diseases or traits. They interpret sequencing data, use bioinformatics tools, and contribute to clinical or research-based genetic analyses. Their work helps in diagnosing genetic disorders, guiding treatment decisions, and advancing precision medicine.

What are the most commonly searched types of Variant Analyst jobs in Texas? The most popular types of Variant Analyst jobs in Texas are:
What cities in Texas are hiring for Variant Analyst jobs? Cities in Texas with the most Variant Analyst job openings:
Infographic showing various Variant Analyst job openings in Texas as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $68,254 per year, or $32.8 per hour.

Senior Bioinformatics Software Engineer

Morpheus Group

Houston, TX

Full-time

Posted 5 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