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Biomarker Jobs in Texas (NOW HIRING)

Senior Research Assistant

Houston, TX · On-site

$31.01 - $37.26/hr

The Senior Research Assistant plays a critical role in advancing this mission through biomarker discovery, laboratory research, and scientific collaboration. The primary purpose of the Senior ...

Biomarker Discovery & Adaptive Neurotechnology * Contribute to discovery and validation of molecular, physiological, and digital biomarkers associated with therapeutic response. * Support development ...

Biomarker Discovery & Adaptive Neurotechnology * Contribute to discovery and validation of molecular, physiological, and digital biomarkers associated with therapeutic response. * Support development ...

Biomarker Discovery & Adaptive Neurotechnology * Contribute to discovery and validation of molecular, physiological, and digital biomarkers associated with therapeutic response. * Support development ...

Biomarker Discovery & Adaptive Neurotechnology * Contribute to discovery and validation of molecular, physiological, and digital biomarkers associated with therapeutic response. * Support development ...

Biomarker Discovery & Adaptive Neurotechnology * Contribute to discovery and validation of molecular, physiological, and digital biomarkers associated with therapeutic response. * Support development ...

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Showing results 1-20

Biomarker information

See Texas salary details

$45.7K

$189.6K

$372.7K

How much do biomarker jobs pay per year?

As of Sep 5, 2026, the average yearly pay for biomarker in Texas is $189,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $372,700.00 per year, depending on experience, location, and employer.

What is a biomarker?

A Biomarker job involves researching and identifying biological indicators (biomarkers) that help diagnose diseases, track disease progression, or monitor treatment responses. Professionals in this field work in pharmaceuticals, biotechnology, or healthcare, using advanced laboratory techniques and data analysis to validate biomarkers for clinical use. They collaborate with scientists, clinicians, and regulatory teams to ensure biomarkers meet medical and regulatory standards. This role is crucial in developing precision medicine, improving patient care, and advancing drug development.

What skills and qualifications are needed to thrive as a biomarker?

To thrive as a biomarker scientist, you need a strong background in molecular biology, biochemistry, or related biomedical sciences, often supported by an advanced degree (MS or PhD). Familiarity with laboratory techniques such as ELISA, PCR, mass spectrometry, and data analysis software like R or SAS is essential. Critical thinking, attention to detail, and effective communication help biomarker scientists excel in both independent and collaborative research settings. These skills ensure accurate identification and validation of biomarkers, which are crucial for advancing diagnostics, drug development, and patient care.

What typical challenges do biomarker scientists face in their daily work?

Biomarker scientists often encounter challenges related to variability in biological samples, stringent validation protocols, and the complex interpretation of large or multidimensional datasets. Overcoming these obstacles requires a meticulous approach to experimental design, robust data analysis, and effective troubleshooting skills. Teamwork is also essential, as biomarker scientists regularly collaborate with clinicians, bioinformaticians, and regulatory experts to ensure research breakthroughs translate into real-world patient benefits. Developing resilience and adaptability helps professionals stay effective despite shifting project requirements or unforeseen experimental hurdles.

How to become a clinical biomarker lead?

To become a clinical biomarker lead, candidates typically need a strong background in biomedical sciences, such as a PhD or master's degree in biology, chemistry, or related fields. Relevant experience includes working in clinical research, biomarker development, or diagnostics, along with skills in data analysis and regulatory compliance. Certifications in clinical research or laboratory management can also enhance prospects for leadership roles in this field.

What does a biomarker do?

A biomarker is a biological molecule, gene, or characteristic that indicates a normal or abnormal process, or a response to a treatment. Biomarkers are used in research and clinical settings to diagnose diseases, monitor health conditions, and guide treatment decisions. Biomarker professionals often analyze biological samples using laboratory techniques and may require knowledge of biochemistry and data analysis.

What does a biomarker scientist do?

A biomarker scientist researches and develops biological markers used to detect or monitor diseases, conditions, or responses to treatment. They analyze biological samples using techniques like molecular biology, biochemistry, and data analysis, often working in laboratories or research settings. Their work supports diagnostics, drug development, and personalized medicine.

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

The most popular types of Biomarker jobs in Texas are:

What cities in Texas are hiring for Biomarker jobs?

Cities in Texas with the most Biomarker job openings:

Infographic showing various Biomarker job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, 4% Contract, and 1% Nights. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution, with an average salary of $189,562 per year, or $91.1 per hour.

Sr Manager Data Management - QA

3B Staffing LLC

Houston, TX

Full-time

Re-posted 16 days ago


Job description

DESCRIPTION

A results-driven Senior Manager in Bioinformatics and Data Management with over 2 years of experience in Quality Analysis, Biomarker Data Management, and Team Leadership. Adept at ensuring data accuracy, compliance, and governance within bioinformatics and biomarker datasets. Proven ability to bridge the gap between Quality Assurance (QA), data governance, and analytics teams to improve data integrity and optimize processes.
Key Expertise:
Quality Assurance (QA): Hands-on experience validating biomarker datasets, ensuring data accuracy, and implementing QA best practices.
Bioinformatics & Biomarker Data Management: Expertise in managing, curating, and governing bioinformatics data assets with a focus on regulatory compliance and data integrity.
Data Governance & Quality Strategy: Establishing governance frameworks, creating policies for biomarker data management, and implementing data quality control measures.
Automation & Process Optimization: Spearheading initiatives to transition from manual QA processes to automated validation for improved efficiency.