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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 ...

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Variant Scientist information

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How much do variant scientist jobs pay per hour?

As of Sep 2, 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 1% Internship, 1% As Needed, 88% Full Time, 7% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $86,068 per year, or $41.4 per hour.

NGS Data Scientist (Hybrid)

Quest Diagnostics

Lewisville, TX • On-site

Full-time

Re-posted 18 days ago


ExamOne rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

94th of 120 rated laboratories


Job description


We are seeking a highly motivated next generation sequencing (NGS) data analytic scientist to support Oncology Assay Development at Quest. As a member of the Oncology R&D team, this role will collaborate with other scientists and staff from cross-functional teams to develop, validate, and support cutting-edge genomic assays for oncology applications.
The ideal candidate will have a strong background in bioinformatics and/or genomic data analysis for somatic applications, translating complex data into actionable insights that drive product development, operational excellence and clinical impact.
This professional will work in a hybrid capacity requiring 3 days onsite at our Lewisville, TX facility.
Responsibilities
  • Perform bioinformatic analysis of genomics data from next generation sequencing. Specific data types include whole exome sequencing (WES), whole exome sequencing (WGS), and targeted DNA and RNA panel datasets generated from Illumina, Ion Torrent and PacBio sequencing technologies.
  • Curate, analyze, and interpret complex genomics datasets to support assay development, validation, and high throughput implementation
  • Present findings to drive decision-making in R&D product development, troubleshooting, and pipeline improvement
  • Design, develop, and deploy scalable and robust bioinformatics pipelines to support analytical validation data analysis for new oncology products
  • Partner with R&D, automation, laboratory operations, and software teams to understand and address the technical challenges and implement efficient solutions
  • Support production day-to-day operations, quickly pivoting focus to respond to incidents and requests
  • Monitor, execute, and improve sequence analysis workflows and automation
  • Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing
  • Track, troubleshoot and mitigate issues encountered in processing production samples to meet strict Turnaround Times (TAT)
  • Contribute to continuous improvement of analytical methods, workflows, and data quality standards

Qualifications
The ideal candidate will have a history of using bioinformatic technical skills to deliver accurate and timely results.
Required Work Experience:
  • Requires at least 4 (four) years of relevant industrial experience in data science and/or bioinformatics role
  • Master's degree, or a Ph.D. in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, or a related field
  • 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 communicate experimental results
  • Ability to work collaboratively in a fast-paced, Cross-functional environment.
  • Experience with Software Development Life Cycle documentation procedure
  • Familiarity with assay validation, regulatory environment (CAP/CLIA), or clinical diagnostics

Skills:
  • Experience using scripting languages (Python, R, or similar) for scientific data analysis and visualization
  • Strong proficiency in NGS data processing, QC, and interpretation
  • Experience with analysis of next-generation sequencing data, preferably including Whole-Genome Sequencing, Variant calling, and Annotation
  • Excellent communication skills and the desire to work in a dynamic and collaborative environment

About the Team
Quest Diagnostics honors our service members and encourages veterans to apply.
While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.
Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

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