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Bioinformatics Engineering Jobs in Katy, TX (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Sugar Land, TX · Remote

$80 - $110/hr

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

micro1 AI

Bioinformatics Software Engineer

Houston, TX · Remote

$80 - $110/hr

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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All JobsBioinformatics Engineering JobsBioinformatics Engineering Jobs in Katy, TX

Bioinformatics Engineering information

See Katy, TX salary details

$39.5K

$120.2K

$218.8K

How much do bioinformatics engineering jobs pay per year?

As of Aug 30, 2026, the average yearly pay for bioinformatics engineering in Katy, TX is $120,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $144,000.00 per year, depending on experience, location, and employer.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

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

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics 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, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement 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 and medical applications.

What cities near Katy, TX are hiring for Bioinformatics Engineering jobs?

Cities near Katy, TX with the most Bioinformatics Engineering job openings:

Bioinformatics Engineering jobs near you
Infographic showing various Bioinformatics Engineering job openings in Katy, TX as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,239 per year, or $57.8 per hour.

Bioinformatics Analyst I

Houston, TX • On-site

Baylor College of Medicine
Colleges, Universities, and Professional Schools • 5 - 10K employees

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 627 rated colleges and universities

People enjoy working here

Good employer

Recommended by parents

Learn more about Baylor College of Medicineexternal

$57K - $67K/yr

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Bioinformatics Analyst I
Division: Pediatrics
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $57,320 - $67,435
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
A bioinformatics analyst position is available at Texas Children's Hospital, Department of Pediatrics, Baylor College of Medicine. Located in the Texas Medical Center in Houston, Baylor College of Medicine stands out as a leading academic health science institution, renowned for its excellence in education, research, healthcare, and community service.
This role is ideal for an individual passionate about leveraging computational tools to unravel complex biological questions and contribute to pioneering research in various types of diseases, including neurodegenerative diseases, rare diseases, and cancers. Our ideal candidate not only has a strong grounding in bioinformatics but also has a genuine passion for data science. This role provides an opportunity to be at the forefront of computational biology, contributing directly to studies that have the potential to make a significant impact in the field.
Interested candidates are encouraged to submit a CV, a cover letter detailing their relevant experience. Strong candidates will be invited to take a 1-hour online or in-person interview, followed by an online coding test later.
Job Duties
  • Data Interpretation: Efficiently process and analyze diverse biological datasets, deriving actionable insights to support our research initiatives.
  • Software Development: Design, implement, and maintain bioinformatics software tools and pipelines, ensuring optimized performance and accuracy.
  • Collaborative Analysis: Work closely with molecular biologists, geneticists, and other researchers to address complex scientific questions.
  • Stay Updated: Regularly review recent scientific literature, integrating new methodologies, tools, and technologies into our analytical processes.
  • Communication: Present findings clearly and concisely to specialist and non-specialist researchers and author/co-author scientific papers.
  • Perform other job related duties as assigned.

Minimum Qualifications
  • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.
  • No experience required.

Preferred Qualifications
  • Bachelor's or master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
  • Strong programming skills with proficiency in Python and/or R. Familiarity with scripting languages like Bash.
  • Minimum of 2 years of research or working experience in a computational field, preferably with a focus on genomics.
  • Proven experience in statistical analysis and machine learning applications.
  • Excellent collaboration and communication skills, with a proven track record of contributing to interdisciplinary projects.
  • Expertise with high-performance computing, cloud-based platforms, docker, and version control systems (e.g., Git) is a plus.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Requisition ID: 26109

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