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Bioinformatics Engineer Jobs in Houston, TX (NOW HIRING)

Baylor Genetics

Sr HPC Engineer

Houston, TX · On-site

$96K - $132K/yr

The ideal candidate combines strong systems engineering skills with bioinformatics domain knowledge and has proven experience managing petabyte-scale storage, workflow orchestration (e.g., Nextflow ...

Quest Global

UEFI/BIOS Test Engineer - Onsite

Spring, TX · On-site

$55K - $65K/yr

Job Requirements Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries ...

Quest Global

UEFI/BIOS Test Engineer - Onsite

Spring, TX · On-site

$55K - $65K/yr

Job Requirements Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries ...

Baylor Genetics

AD Scientific Innovation

Houston, TX · On-site

D. in Bioinformatics, Computational Biology, Genetics, Computer Science, Biomedical Engineering, or related field. • 8 years of experience in bioinformatics, computational biology, or genomics. • ...

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All JobsBioinformatics Engineer JobsBioinformatics Engineer Jobs in Houston, TX

Bioinformatics Engineer information

See Houston, TX salary details

$41.1K

$125.2K

$227.8K

How much do bioinformatics engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for bioinformatics engineer in Houston, TX is $125,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $149,900.00 per year, depending on experience, location, and employer.

What is a bioinformatics engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

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

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What are some common challenges faced by bioinformatics engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

More about Bioinformatics Engineer jobs
What are the most commonly searched types of Bioinformatics Engineer jobs in Houston, TX? The most popular types of Bioinformatics Engineer jobs in Houston, TX are:
What are popular job titles related to Bioinformatics Engineer jobs in Houston, TX? For Bioinformatics Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineer jobs in Houston, TX look for? The top searched job categories for Bioinformatics Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Bioinformatics Engineer jobs? Cities near Houston, TX with the most Bioinformatics Engineer job openings:
Bioinformatics Engineer jobs near you
Infographic showing various Bioinformatics Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $125,152 per year, or $60.2 per hour.

Senior Bioinformatics Software Engineer

Morpheus Group

Houston, TX

Full-time

Posted 8 days ago

Job description

We are seeking an experienced Senior/Staff-Level Bioinformatics Software Engineer to provide technical leadership in the design, development, and enhancement of advanced bioinformatics software solutions. This role combines software engineering, computational biology, and data science expertise to support genomic data analysis, next-generation sequencing (NGS) workflows, and the development of scalable analytical platforms.
Key Responsibilities
  • Architect and develop innovative bioinformatics applications, analytical tools, and data processing solutions.
  • Lead the creation and optimization of genomic analysis pipelines focused on sequence interpretation, variant detection, and complex biological data analysis.
  • Partner with scientists, researchers, and cross-functional stakeholders to design studies, analyze results, and translate biological requirements into software solutions.
  • Drive technical strategy and contribute to architectural decisions for current and future software platforms.
  • Improve development processes through automation, best practices, and modern engineering methodologies.
  • Mentor engineering team members and serve as a technical resource across projects. Desired Qualifications
  • Strong background in bioinformatics software development with expertise in NGS data analysis and genomic workflows.
  • Experience working with common bioinformatics formats and tools, including sequencing alignment, variant analysis, and quality control frameworks.
  • Advanced programming skills in Python, R, or similar languages used in scientific computing.
  • Proficiency with Linux environments, cloud computing platforms, and workflow orchestration tools.
  • Experience with software development best practices, source control, testing methodologies, and containerized environments.
  • Excellent communication, leadership, and collaboration skills with the ability to work effectively across scientific and technical teams.

Background
  • Bachelor's degree in Computer Science, Bioinformatics, Data Science, Statistics, Mathematics, or a related field required; advanced degrees preferred.
  • Approximately 7+ years of experience in software engineering, bioinformatics, computational biology, or a related discipline, including demonstrated technical leadership.

This opportunity is ideal for a bioinformatics professional who enjoys leading complex technical initiatives, building scalable genomics solutions, and working at the intersection of software engineering and life sciences