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Variant Scientist Jobs in Texas (NOW HIRING)

Oversee the review of genetic and CNV variant data: interpret NGS and microarray results in the ... Analyze lab data, contribute to or write publications for high-quality scientific journals. May ...

Oversee the review of genetic and CNV variant data: interpret NGS and microarray results in the ... Analyze lab data, contribute to or write publications for high-quality scientific journals. May ...

Bioinformatics Analyst

Burnet, TX · On-site

$61K - $78K/yr

... variant calling, inter-sample comparison, patient matching/linkage). Utilizes web-based ... Works in collaboration with both technology and scientific teams. * Requirements Gathering ...

We are committed to inspiring the next generation of scientists and educators. TheVan Andel ... variant sometimes present with only mild disease while others present with severe and sometimes ...

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Variant Scientist information

See Texas salary details

$15

$41

$71

How much do variant scientist jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for variant scientist in Texas is $41.38, according to ZipRecruiter salary data. Most workers in this role earn between $30.02 and $52.43 per hour, depending on experience, location, and employer.

What is a variant scientist?

Variant Scientists are professionals who analyze genetic variants—differences in DNA sequences—to determine their significance in health and disease. They interpret genomic data, often from whole-genome or exome sequencing, to assess whether specific variants may cause or contribute to medical conditions. Their work is crucial in clinical genetics, precision medicine, and biomedical research, helping guide patient diagnosis and treatment. Variant Scientists collaborate with clinicians, bioinformaticians, and laboratory personnel to provide accurate and actionable genetic insights.

What does a variant scientist do?

As a variant scientist, you work for a research laboratory in a university or a medical facility to test and study variations of genes and the effects they have on human development. As part of your duties, you aid in the development of new tests to discover gene abnormalities, perform analysis on patient samples to identify possible mutations, and record your findings to assist in scientific research. You also have heavy reporting responsibilities that may require in-depth computer and writing skills, the ability to analyze data, and strong attention to detail. In this role, you may cater to a specific health field, like pediatrics or oncology.

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

To thrive as a Variant Scientist, you need a solid background in genetics, molecular biology, and bioinformatics, typically supported by an advanced degree such as a PhD or MSc in a related field. Familiarity with next-generation sequencing (NGS) platforms, variant annotation tools, and data analysis software like GATK or ANNOVAR is essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex genetic data and collaborate with multidisciplinary teams. These skills ensure accurate variant interpretation, drive discoveries, and support precision medicine initiatives.

What are some common challenges faced by variant scientists in interpreting genetic data, and how are these typically addressed within a team?

Variant Scientists often encounter challenges such as distinguishing between benign and pathogenic variants, managing large volumes of sequencing data, and staying updated with rapidly evolving genetic databases. These challenges are typically addressed by collaborating closely with bioinformaticians, clinical geneticists, and laboratory personnel to review findings and validate interpretations. Regular team meetings, use of standardized classification guidelines like ACMG, and leveraging advanced software tools help ensure accurate and consistent variant analysis.

What are the most commonly searched types of Variant Scientist jobs in Texas?

The most popular types of Variant Scientist jobs in Texas are:

What cities in Texas are hiring for Variant Scientist jobs?

Cities in Texas with the most Variant Scientist job openings:

Infographic showing various Variant Scientist job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $86,068 per year, or $41.4 per hour.

Research Scientist, Bioinformatics & Computational Genomics

United Phosphorus Limited (UPL)

College Station, TX • On-site

$80 - $100/hr

Other

Posted 4 days ago


Job description

Research Scientist, Bioinformatics & Computational Genomics

Job Id: 11847

City: College Station, Texas, United States

Department: R&D

Function: Research and Development

Employee Type: Permanent Full Time

Seniority Level: Mid-Senior level

Advanta is a global seed business adapting to rapidly increasing food insecurity and climate change by providing farmers with innovation and new technologies. As part of UPL Group, Advanta aims to deliver high quality seeds with excellent agronomic practices and crop protection solutions. Advanta operates in over 80 countries under global brands of Advanta, Alta and Pacific Seeds. Advanta holds a leadership position in tropical and sub‑tropical geographies in corn, grain and forage sorghum, sunflower, canola, rice, and a variety of vegetables. With over 60 years' experience in plant genetics, Advanta provides seeds technology that ensures crop performance and farmers prosperity.

We are seeking a motivated and detail‑oriented individual to join our dynamic, fast‑growing, and diverse team in a high‑throughput genotyping and molecular laboratory. This role supports the crop breeding program at Advanta Seeds and is ideal for recent PhD graduates who enjoy working at the lab bench, including designing, troubleshooting, and improving assays using KASP and TaqMan technologies, while also applying bioinformatics to support marker design and validation at scale. The successful candidate will begin with a strong wet‑lab focus and will gradually expand their responsibilities into bioinformatics and computational analysis.

Key Responsibilities
  • Develop and support computational pipelines for genomic data processing and analysis.
  • Perform sequence analysis, read processing, and variant discovery from next‑generation sequencing datasets.
  • Generate high‑quality variant datasets, including VCF files, for downstream research and breeding applications.
  • Perform genome assembly analyses (including scaffold‑level assembly where applicable) and compare assemblies and genomic regions across multiple reference genomes.
  • Identify SNPs and other sequence variants relevant to research and breeding objectives.
  • Ability to design primers informed by comparative genomic analysis across multiple reference genomes.
  • Support difficult marker‑related problems by providing sequence‑based analysis and computational interpretation.
  • Retrieve, organize, and analyze genomic and associated metadata from relational databases, including SQL‑based systems.
  • Write scripts and automated workflows in Python, R, bash, or similar languages to streamline analysis and reporting.
  • Document methods, results, and workflows clearly and reproducibly, and present findings to internal teams.
  • Work independently on assigned analyses while coordinating with the manager and relevant collaborators as needed.
  • Support projects across multiple crops, with the ability to perform analysis across species.
Required Qualifications
  • PhD in Bioinformatics, Computational Biology, Genomics, Genetics, Plant Biology, or a closely related field.
  • Strong computational genomics background with hands‑on experience in several of the following areas: variant calling, genome assembly.
  • Strong programming skills, with the ability to independently develop and troubleshoot scripts and workflows in a Linux environment.
  • Proficiency in Python and at least one additional analysis language or environment such as R or bash.
  • Experience working in Linux‑based computational environments.
  • Experience generating, processing, and interpreting sequence‑based outputs such as assemblies, alignments, and VCF files.
  • Experience comparing genomic data across multiple references, assemblies, or sequence datasets.
  • Working knowledge of molecular biology sufficient to support marker and primer design decisions, even if the role is not bench‑based.
  • Familiarity with relational databases and the ability to retrieve and manipulate data using SQL.
  • Strong organizational skills, scientific judgment, and the ability to manage multiple tasks with limited supervision.
  • Strong written and verbal communication skills and the ability to document analyses clearly.
  • Cultural sensitivity and ability to work effectively in a diverse team environment.
  • Must be legally authorized to work in the United States. Advanta does not offer employment sponsorship for this position.
Preferred Qualifications
  • Experience in plant genomics, crop genetics, or computational support of breeding programs.
  • Experience analyzing data from multiple crop species or transferring analysis strategies across species.
  • Experience with comparative genomics across diverse germplasm or multiple reference genomes.
  • Experience building reproducible workflows for routine genomic analysis.
  • Experience supporting molecular marker development through computational sequence analysis.
  • Ability to grow into an increasingly independent role and take ownership of technically demanding analyses.
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