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Bioinformatics Data Analyst Jobs in Texas (NOW HIRING)

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Bioinformatics Pipeline Test Engineer

Prosper, TX · On-site

Bioinformatics Pipeline Test Engineer Domain EXP : (Healthcare Domain) Experience: 2+ Years of exp ... data, AWS healthomics, Nextflo Type experience working on secondary analysis pipelines Essential ...

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How much do bioinformatics data analyst jobs pay per hour?

As of Sep 12, 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 is a bioinformatics data analyst?

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.

How do bioinformatics data analysts collaborate with researchers and other team members?

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 the key skills and qualifications needed to thrive as a bioinformatics data analyst?

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.

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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $88,794 per year, or $42.7 per hour.

Postdoctoral Fellow - Genomic Medicine

Houston, TX • On-site

MD Anderson
Health Care and Social Assistance • 10K+ employees
Learn more about MD Andersonexternal

$46K - $63K/yr

Full-time

Re-posted 22 days ago

MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

Job description

The Wang Laboratory at MD Anderson Cancer Center is a computational biology research lab. We apply innovative bioinformatics approaches to dissect the tumor 'ecosystem', deeply profile tumor cells and cells of the tumor microenvironment as well as tumor-immune-stroma crosstalk at single-cell resolution and in the spatial context. The lab's key focus areas include: 1) Transition from premalignant lesions to invasive cancer; 2) Evolution of metastasis from a localized tumor; 3) Dynamic response to anti-cancer therapies and the development of therapeutic resistance.

Leveraging cutting-edge single-cell and spatial multi-omics technologies, cellular imaging, and innovative bioinformatics tools and computational frameworks, we aim to harness the potential of big data to fight cancer. Our overarching goal is to advance our understanding of the cellular & molecular cues underlying early tumorigenesis, disease progression, and the development of therapy resistance and translate our novel discoveries into improved patient care. We are seeking multiple talented and highly motivated Postdoctoral Fellows with a strong background in bioinformatics and a passion for exploring the heterogeneity and evolution of tumor cells and tumor microenvironment using the state-of-the-art single cell and spatial multi-omics approaches.

LEARNING OBJECTIVES Gain skills in single cell, spatial omics, and imaging data analysis, immunogenomics, immune-informatics, and cancer-specific bioinformatics. Develop expertise in study design, data analysis, data interpretation, presentation, manuscript and grant writing All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations. ELIGIBILITY REQUIREMENTS Individuals with a PhD degree in computational biology, bioinformatics, data science or a related field are encouraged to apply.

A strong computational background, proficiency in R and at least one additional scripting language (e.g., Python) and knowledge in biostatistics are required. Experience working with single cell and spatial omics data analysis and high-performance computing environment (Unix/Linux) is highly preferred. A good understanding of cancer biology, immunology, cell biology, and molecular biology is also preferred

Proven track record of publications, excellent spoken and written communication skills are required ADDITIONAL APPLICATION INFORMATION Interested applicants should send a Cover Letter specifying past research experience/skills/accomplishments, a Curriculum Vitae and the contact information of three (3) Referees to Dr. Linghua Wang at Lwang22@mdanderson.org with the subject line entitled "Postdoctoral Fellow - Application - Applicant's Name". POSITION INFORMATION Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law

http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html FACULTY MENTOR Dr. Linghua Wang Apply

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