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Biotechnology Bioinformatics Jobs in Texas (NOW HIRING)

Vytwo

Bioinformatics Pipeline Test Engineer

Prosper, TX · On-site

Bioinformatics Pipeline Test Engineer Domain EXP : (Healthcare Domain) Experience: 2+ Years of exp ... Familiarity within an FDA-Regulated, Medical Device, Pharmaceutical, Biotech, or other regulated ...

Tamus

Research Associate

College Station, TX

$3.7K/mo

Position Information Texas A&M AgriLife Genomics and Bioinformatics Service (TxGen), a multimillion ... biotechnology companies to advance agricultural and biological research around the world. We are ...

Exatech Inc

Azure Data Solutions Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

... or bioinformatics/computational biology, with 4+ years of experience (or MS with 2+ years of experience, or PhD) in the biotech/pharmaceutical/ healthcare/diagnostics/health insurance space.

All JobsBiotechnology Bioinformatics JobsBiotechnology Bioinformatics Jobs in Texas

Biotechnology Bioinformatics information

See Texas salary details

$55.4K

$88K

$139.3K

How much do biotechnology bioinformatics jobs pay per year?

As of Aug 29, 2026, the average yearly pay for biotechnology bioinformatics in Texas is $88,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $120,600.00 per year, depending on experience, location, and employer.

What is biotechnology bioinformatics?

Biotechnology bioinformatics is a field that combines biology, computer science, and information technology to analyze and interpret biological data, especially large datasets like DNA sequences, protein structures, and gene expression profiles. Professionals in this area develop and apply computational tools to solve problems in biotechnology, such as drug discovery, genetic engineering, and personalized medicine. Their work enables researchers to make sense of complex biological information, accelerating innovation in healthcare, agriculture, and environmental science.

What are the key skills and qualifications needed to thrive as a biotechnology bioinformatics professional?

To thrive as a Biotechnology Bioinformatics professional, you need a solid background in molecular biology, genetics, and computational data analysis, typically supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with programming languages (such as Python, R), bioinformatics software (like BLAST, Bioconductor), and experience with databases (e.g., GenBank) are commonly required. Strong problem-solving skills, attention to detail, and effective communication help professionals collaborate and interpret complex biological data. These skills are essential for advancing research, developing innovative solutions, and translating biological data into actionable insights.

How do bioinformatics professionals in biotechnology typically collaborate with laboratory scientists?

Bioinformatics professionals in biotechnology often work closely with laboratory scientists to analyze and interpret complex biological data, such as genomic sequences or protein structures. Collaboration usually involves regular meetings to discuss experimental design, data requirements, and results interpretation. Bioinformaticians may assist in developing custom analysis pipelines, troubleshooting issues, and translating computational findings into actionable insights for experimental work. This teamwork is crucial for advancing research projects and ensuring that computational and experimental efforts are well-integrated.

What is the difference between Biotechnology Bioinformatics vs Molecular Biologist?

AspectBiotechnology BioinformaticsMolecular Biologist
Required CredentialsBachelor's or Master's in Bioinformatics, Biotechnology, or related fields; often includes programming skillsBachelor's or Master's in Molecular Biology, Genetics, or related fields; laboratory experience essential
Work EnvironmentLaboratories, research centers, biotech companies; focus on data analysis and computational toolsWet labs, research institutions, hospitals; focus on experimental work and biological assays
Employer & Industry UsageBiotech firms, pharmaceutical companies, research institutionsAcademic labs, healthcare, research institutes

Biotechnology Bioinformatics primarily involves analyzing biological data using computational methods, while Molecular Biologists focus on experimental research in biological systems. Both roles are vital in biotech and research sectors but differ in skills and daily tasks.

What jobs can you get with biotechnology bioinformatics?

Biotechnology bioinformatics graduates can pursue roles such as bioinformatics analyst, computational biologist, research scientist, or data analyst in pharmaceutical, biotech, or research institutions. These positions typically require skills in programming, data analysis, and understanding of biological data, often using tools like R, Python, or specialized software. Job responsibilities include analyzing genomic data, developing algorithms, and supporting drug discovery or personalized medicine efforts.

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

The most popular types of Biotechnology Bioinformatics jobs in Texas are:

What are popular job titles related to Biotechnology Bioinformatics jobs in Texas?

For Biotechnology Bioinformatics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Biotechnology Bioinformatics jobs in Texas look for?

The top searched job categories for Biotechnology Bioinformatics jobs in Texas are:

What cities in Texas are hiring for Biotechnology Bioinformatics jobs?

Cities in Texas with the most Biotechnology Bioinformatics job openings:

Biotechnology Bioinformatics jobs near you
Infographic showing various Biotechnology Bioinformatics job openings in Texas as of August 2026, with employment types broken down into 2% Internship, 85% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $88,017 per year, or $42.3 per hour.

Bioinformatics Pipeline Test Engineer - Healthcare - San Diego CA - Local to CA or who can relocate

Prosper, TX • On-site

Vytwo
See more jobs at Vytwoexternal

Full-time

Posted 3 days ago

New

Job description

Title: Bioinformatics Pipeline Test Engineer
Domain: Healthcare
Location: San Diego, CA - Local to CA or who can relocate
Duration: 6 Months
Experience: 2+ years
Must have:          
  • Bioinformatics OR Genomics
  • NGS OR "Next Generation Sequencing"
  • VCF OR BAM OR FASTQ
  • Python
  • Testing OR QA OR "Quality Engineer" OR Validation
  • Git

Job Description:
Role Overview
We are seeking a Bioinformatics Test Engineer to validate and ensure the quality of NGS data pipelines and bioinformatics workflows. The role requires a strong blend of bioinformatics knowledge, QA expertise, and automation skills.
Key Responsibilities
• Design and execute testing strategies for NGS pipelines (alignment, variant calling, annotation)
• Perform data validation, regression testing, and discrepancy analysis
• Develop automated test scripts (Python)
• Translate requirements into test cases and validation criteria
• Work with CI/CD pipelines and cloud-based workflows
• Collaborate with cross-functional teams to ensure data accuracy and reliability
Required Skills
• Strong understanding of NGS workflows (FASTQ, BAM, VCF)
• Experience in bioinformatics pipeline testing or QA
• Proficiency in Python scripting
• Hands-on with Git and CI/CD tools
• Experience with cloud platforms (AWS/GCP/Azure) and data pipelines
• Strong problem-solving and communication skills
Preferred
• Experience in the biotech/life sciences domain
• Familiarity with Nextflow, Snakemake, or similar workflows
• Exposure to regulated environments (CLIA/FDA)
What We’re Looking For
• Strong testing mindset + hands-on engineering skills
• Ability to debug pipelines and explain thought process clearly
• Experience with real-world data workflows (not just academic projects)
• Mentions NGS pipelines + testing together
• Has Python + Git + CI/CD
• Mentions variant calling / VCF validation
• Worked on cloud or production pipelines
Reject or deprioritize if:
• Only academic bioinformatics (no testing/QA)
• Only statistics validation (no system testing)
• No Python or automation
• No infra experience (cloud / CI/CD / DB)
• Only local scripts, no real pipelines
 
Other High Priority Keywords
  • Variant Calling
  • Pipeline Testing
  • Regression Testing
  • Test Strategy OR Test Case Design
  • Data Validation
  • Golden Dataset OR Reference Dataset
  • CI/CD OR "GitHub Actions" OR GitLab OR "Azure DevOps"
  • AWS OR S3 OR Cloud
  • Nextflow OR Snakemake OR WDL OR Cromwell
  • Automation Testing