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Genomic Variant Analyst Jobs in Texas (NOW HIRING)

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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.

Sr Bioinformatics Software Engineer

Baylorgenetics

Houston, TX • On-site

$120 - $180/hr

Other

Re-posted yesterday

Job description

Job Category: Information Technology (IT)

Requisition Number: SRBIO002447

  • Posted : August 3, 2026
  • Full-Time
  • Hybrid
Locations

Showing 1 location

Houston, TX 77021, USA

Description

JOB SUMMARY

The SeniorBioinformatics (BI)Software Engineer holds acriticaltechnical role, responsible for designing, developing, andmaintainingscalable and efficientsoftwaresolutionsforBaylorGenetics’bioinformaticpipelines. This role involves collaborating withand supportingcross-functional teams to deliver data-drivensoftwaresolutionsaligning withbusiness needs.

KEY RESPONSIBILITIES

  • BI Development:Design, develop, andmaintainrobustsoftwaresolutions using various tools, databases, and technologies to meet business requirements.
  • Data Modeling:Create and optimize data models, ensuring the accuracy, integrity, and performance of theunderlingcomputational algorithms, especially as pertains toassembly, mapping,variantcallingand variant annotation.
  • ETL Processes:Develop andoptimizeETL (Extract, Transform, Load) processes to efficiently extract data from various sources, transform it, and load it into the BI system, with an emphasis onutilizingAPIs
  • Query Optimization:Analyze andoptimizeSQL queries and database performance to enhance data retrieval and reporting speed.Contributeto schema design and review sessions to ensure high performance and maintainable databases.
  • Dashboard & Report Creation:Develop interactive dashboards andautomatedreports using BI tools (e.g.,AzurePipelines, Teams Power Automate,email,Nextflow) to provide actionable insights for stakeholders.
  • Collaboration:Workand alignclosely with stakeholders, including data analysts, business users,clinical reviewers, laboratorypersonneland software developers, toscope theirrequirementsand delivertimelyintegrationsof newsoftware.
  • Data Integration:Integrate disparate data sources and ensure consistency, accuracy, and reliability of data across the BI system, with a focus on devising systems that have minimal to no code debt and are highly maintainable and flexible.
  • Quality Assurance:Conduct rigorous testing of BI solutions to ensure data accuracy, system stability, andoptimalperformance, with the ability to automatetestingsuites using packages(e.g.pytest,doctest,Azure Pipelines)
  • Documentation & Maintenance:Create comprehensive documentation for developed solutions and provide support andmaintenanceas necessary.Thisgenerallyincludes: (1)detailed in-line commenting notingJira ticket request numbers, genomic diagrams,reasoning and personal thoughts, TODO comments, docstrings, BG headers, etc.; (2)wikis and README filesinstructing users on how to install and implement the software along withtrace mappings detailing how the software is generally organized.

QUALIFICATIONS

Required

  • Education:Bachelor’s degree in Computer Science, Software Engineering,Bioinformaticsora relatedfield;Master’sdegree preferred.
  • Experience:Minimum of 5 years of experience in software development, with a proventrack recordof designing and implementing scalable softwaresolutions based on diverse user feature needs. Must have a proventrack recordof implementing production ready software solutions from scratch. Prior experience or domain knowledge from collaborating with laboratory scientists, computational biologists, or clinical reviewers is a nice-to-have.

COMPETENCIES

Technical Skills:

  • Deep knowledge andexpertisein at least two programming languages (Python, Perl, R, or Bash, will also consider Java, C++, and Groovy).
  • Proficient in a range of database technologies, including SQL Server, NoSQL, MongoDB, MySQL, andElasticSearch,demonstratingcomprehensive skills in database management, optimization, and query development.
  • Proficiencyin working in an Agile framework and implementing CI/CD practices using Git. Knowledge of Azure is abonus.Implementationof object orientated programming (OOP) is second nature, which includes building intuitive classes relevant to the science, system, or service.
  • Standard software design practices relevant to that languageisintuitive to you. Demonstrated ability to build entire software packages from scratch that are performant and highly maintainable, ensuring they are tested and are production ready. Solid understanding and habitual practice of unit and integration testing of software.
  • High regard for documentation and object/variable naming that is explicit, with the ability to relay or distill scientific concepts within supplemental documentation or inline code itself.
  • Proficiencyin designing and building APIs and microservices from scratch.
  • Familiarity with Linux OS and HPC clusters (SLURM, Kubernetes, GCP, Azure, etc.) is a plus, but not essential.
  • Solid understanding of package management practices (PIP, Conda, etc.) and containerization (Docker, Singularity, etc.).
  • Proficiencyor knowledge of workflow management or orchestration tools (Nextflow, Airflow,Snakemake, etc.) is a plus, but not essential.

Analytical Thinking:Strong analytical and problem-solving skills with the ability to translate complex business needs into technical solutions and work independently to solve problems. Also requiresgood communicationskills and flexibility to reach out to stakeholders and SMEs as necessary

  • Team Collaboration:Excellent interpersonal and communication skills to collaborate effectively with multidisciplinary teams. Should be open and willing to receive and give criticism and feedback in a measured manner, focused on solving the problem at hand.
  • Adaptability:Ability to adapt to evolving technologies, learn new tools, and implement best practices in BI software engineering and development. Should be able to assess situations when a drop-in solution would be preferable to a custom software implementation and run proof-of-concepts as needed. Should be highly familiar with best practices in software development and an advocate of best practices, even under pressure.
  • Project Management:Experience in managing individual projects and adhering to timelines while delivering high-quality solutions, ensuringgood communicationin situations where project scopes may fluctuate
  • Performs other advanced job-related duties as assigned.

PHYSICAL DEMANDS AND WORK ENVIRONMENT

  • Frequently required to sit.
  • Frequently required to stand.
  • Frequently required toutilizehand and finger dexterity.
  • Frequently required to talk or hear.

EEO STATEMENT

Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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