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Bioinformatics Engineer Jobs in Texas (NOW HIRING)

Bioinformatics Pipeline Test Engineer Domain EXP : (Healthcare Domain) Experience: 2+ Years of exp Location: San Diego CA "Onsite client office" Duration: 6 Months JD in brief: For these candidates ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

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Bioinformatics Engineer information

See Texas salary details

$40.1K

$122.1K

$222.2K

How much do bioinformatics engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for bioinformatics engineer in Texas is $122,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $146,300.00 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.

What does a bioinformatics engineer do?

A bioinformatics engineer develops and applies computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research or medical purposes.

What cities in Texas are hiring for Bioinformatics Engineer jobs?

Cities in Texas with the most Bioinformatics Engineer job openings:

Infographic showing various Bioinformatics Engineer job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $122,096 per year, or $58.7 per hour.

Bioinformatics Software Engineer

Houston, TX • On-site

Baylor Genetics
Biotechnology Research and Development • 51 - 200 employees

Full-time

Posted 22 days ago


Baylor Genetics rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

JOB SUMMARY
The Bioinformatics Software Engineer is responsible for developing and maintaining bioinformatics software, databases, and tools. They assist in the design and execution of data processing pipelines for genomic, transcriptomic, and proteomic data, collaborating with research and clinical review teams to analyze experimental data and interpret results. Additionally, they contribute to the integration of bioinformatics tools with other platforms and technologies, document and report on software development processes and data analyses and stay updated with the latest bioinformatics software and techniques.
KEY RESPONSIBILITES
  • Develop and maintain bioinformatics software, databases, and tools.
  • Assist in the design and execution of data processing pipelines for genomic, transcriptomic, and proteomic data.
  • Collaborate with research and clinical review teams to analyze experimental data and interpret results.
  • Contribute to the integration of bioinformatics tools with other platforms and technologies.
  • Document and report on software development processes, data analyses, and results.
  • Participate in team meetings and provide insights and updates on project statuses.
  • Stay updated with the latest bioinformatics software and techniques.

QUALIFICATIONS
Required
Education: Bachelor's degree or higher in Bioinformatics, Computer Science, or a related field.
Experience: Proficiency in programming languages such as Python, R, or Java. Prior clinical lab experience preferred but not required
COMPETENCIES
  • Experience in developing and maintaining bioinformatics software, databases, and tools.
  • Familiarity with data processing pipelines for genomic, transcriptomic, and proteomic data.
  • Strong analytical and problem-solving skills.
  • Ability to collaborate effectively with research and clinical review teams.
  • Knowledge of bioinformatics tools and techniques.
  • Excellent documentation and reporting skills.
  • Ability to stay updated with the latest advancements in bioinformatics software and techniques.
  • Experience with version control systems such as Git is a plus.

PHYSICAL DEMANDS AND WORK ENVIRONMENT
  • Frequently required to sit, stand, utilize hand and finger dexterity, talk, or hear.
  • Frequently required to utilize visual acuity to operate equipment, read technical information, and/or use a keyboard.
  • Occasionally exposed to bloodborne and airborne pathogens or infectious materials.

EEO Statement:
Baylor Genetics is proud to be an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, pregnancy, childbirth, or any other status protected by applicable federal, state, or local law. If you need an accommodation during the application process, please contact our Human Resources team.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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