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Variant Scientist Jobs in Texas (NOW HIRING)

TruDataRx

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or ... Variant), and security management (RBAC). * Programming: Proficiency in Python for scripting ...

SurgeonsLab

Sales Executive

Prosper, TX · On-site

... Variant Education & Experience Bachelors degree in Business, Life Sciences, Engineering, or a related field OR Associate degree or relevant medical/clinical certification (CST, RN, RT, PT, etc ...

EROS Technologies, Inc.

PLM Process Analyst

Houston, TX · On-site

$58K - $78K/yr

... Science from an accredited college or university * Strong understanding of Product Lifecycle ... Knowledge of engineering processes related to product definition, BOM structuring, variant ...

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All JobsVariant Scientist JobsVariant Scientist Jobs in Texas

Variant Scientist information

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$71

How much do variant scientist jobs pay per hour?

As of Aug 6, 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 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 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 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 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.
More about Variant Scientist jobs
What are the most commonly searched types of Variant Scientist jobs in Texas? The most popular types of Variant Scientist jobs in Texas are:
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What job categories do people searching Variant Scientist jobs in Texas look for? The top searched job categories for 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:
Variant Scientist jobs near you
Infographic showing various Variant Scientist job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $86,068 per year, or $41.4 per hour.

Data Engineer

TruDataRx

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 3 days ago

Job description

Description

ABOUT TRUDATARX

TruDataRx, Inc. uses objective clinical data to help clients improve the clinical efficacy and reduce the costs of pharmacy benefits for its members. We are independent from all players in the pharmaceutical manufacturing and distribution industries, enabling us to best serve our clients. We value the following characteristics in our team members:

  • Outward Mindset – foundation of our culture, which influences the right behaviors, that leads to results
  • Entrepreneurial – the ability to get things done with resources you don’t control
  • Humility – deep comfort in knowing when you don’t know and asking questions
  • Collaboration – we always give benefit of doubt that each person has something to contribute

POSITION SUMMARY:

We are seeking an experienced Data Engineer to architect, build, and maintain our next-generation data pipelines. You will be the technical subject matter expert on our Modern Data Stack, primarily utilizing Snowflake and dbt.

You will be responsible for defining best practices, conducting code reviews, and actively nurturing the growth of junior engineers. You will act as a bridge between raw data and actionable analytics, ensuring our analysts and data scientists have clean, reliable, and timely data.

ESSENTIAL FUNCTIONS

  • ELT Architecture: Design and build robust, scalable ELT pipelines to ingest data from various sources (APIs, production databases, third-party tools) into Snowflake.
  • Data Transformation (dbt): Own the dbt project structure. specific responsibilities include:
  • Developing complex SQL-based data models (incremental models, snapshots).
  • Writing Jinja macros to keep code DRY (Don\'t Repeat Yourself).
  • Implementing data quality tests (schema tests, custom data tests).
  • Snowflake Optimization: Manage the Snowflake environment to ensure cost-efficiency and performance. This includes warehouse sizing, clustering strategies, and utilizing features like Snowpipe and Zero-Copy Cloning.
  • Data Quality & Governance: Champion data integrity. Implement observability tools and alerts to catch pipeline failures or data anomalies before they reach the business users.
  • Mentorship: Act as a technical lead for junior engineers, conducting code reviews, and establishing best practices for SQL and version control.
  • Collaboration: Translate business requirements from Product and Analytics teams into technical specifications and data models

Requirements

REQUIREMENTS

  • Required education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
  • Required industry experience or certification: 
  • 3+ years of professional experience in Data Engineering and Database Development with medical and prescription claims
  • Specific Stack Experience:
  • 2+ years of hands-on experience specifically with Snowflake (architecture, snowpipe, streams/tasks, and security).
  • 1+ years of production experience with dbt (developing packages, macros, and incremental models).

Preferred skills:

  • SQL Mastery: Expert-level SQL skills with the ability to write complex, highly optimized queries. You can write complex, performant queries and debug spaghetti code with ease. Deeply familiar with Snowflake architecture, including separation of storage and compute, semi-structured data handling (JSON/Variant), and security management (RBAC).
  • Programming: Proficiency in Python for scripting, custom connectors, or orchestration tasks.
  • Orchestration: Experience with workflow orchestration tools (e.g., Airflow or FiveTran, dbt or dbt Cloud).
  • Version Control: Strong familiarity with Git flows and CI/CD pipelines for data (e.g., GitHub Actions, GitLab CI).
  • dbt Proficiency: Strong experience with dbt (Core or Cloud). You understand the difference between ephemeral, table, and view materializations and know how to use dbt for documentation and lineage.
  • Data Governance principles and best practices
  • Master Data Management principles and best practices

Preferred Qualifications (Bonus)

  • Experience with database management
  • Experience handling healthcare data formats (e.g. Pharmacy Claims data, Eligibility data, Medical Claims data, etc.).
  • Knowledge of Azure/GCP services or similar AWS core services (S3, Lambda, IAM).
  • Experience migrating legacy stored procedures to modern dbt models.
  • Python: Proficient in Python for scripting, API interaction and Streamlit apps
  • Version Control: Strong understanding of Git workflows (branching, merging, pull requests) specifically within a data context.

Company Standard Requirements:

  • Ability to work well with others in a collaborative environment
  • Ability to get things done with resources you don’t control
  • Willingness to admit you don’t know and ask for help
  • Exhibit constant curiosity and a drive to problem solve
  • Exhibit desire to learn and grow on a continuous basis


Apply