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Bioinformatics Data Analyst Jobs in Texas (NOW HIRING)

University of Pennsylvania

Bioinformatician A

Center, TX · On-site

$57K - $77K/yr

... for bioinformatics data (e.g., NGS, imaging). This includes managing our in-house database for ... Track and analyze storage utilization and expenses across on-premises, tape, and cloud systems ...

University of Pennsylvania

Bioinformatician A

Center, TX · On-site

$57K - $77K/yr

... for bioinformatics data (e.g., NGS, imaging). This includes managing our in-house database for ... Track and analyze storage utilization and expenses across on-premises, tape, and cloud systems ...

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All JobsBioinformatics Data Analyst JobsBioinformatics Data Analyst Jobs in Texas

Bioinformatics Data Analyst information

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$6

$42

$76

How much do bioinformatics data analyst jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for bioinformatics data analyst in Texas is $42.69, according to ZipRecruiter salary data. Most workers in this role earn between $33.61 and $45.67 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bioinformatics Data Analyst, and why are they important?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do Bioinformatics Data Analysts typically collaborate with researchers and other team members in a multidisciplinary environment?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What are Bioinformatics Data Analysts?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
What are popular job titles related to Bioinformatics Data Analyst jobs in Texas? For Bioinformatics Data Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Analyst jobs in Texas look for? The top searched job categories for Bioinformatics Data Analyst jobs in Texas are:
What cities in Texas are hiring for Bioinformatics Data Analyst jobs? Cities in Texas with the most Bioinformatics Data Analyst job openings:
Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in Texas as of July 2026, with employment types broken down into 67% Full Time, 7% Part Time, and 26% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $88,794 per year, or $42.7 per hour.
Sr Manager Data Management - QA

Sr Manager Data Management - QA

3B Staffing LLC

Houston, TX

Full-time

Posted 26 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.

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