ZipRecruiter

Log In

1

Bioinformatics Data Engineer Jobs in Katy, TX (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Houston, TX · Remote

$80 - $110/hr

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

next page

Showing results 1-20

All JobsBioinformatics Data Engineer JobsBioinformatics Data Engineer Jobs in Katy, TX

Bioinformatics Data Engineer information

See Katy, TX salary details

$39.5K

$120.2K

$218.8K

How much do bioinformatics data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for bioinformatics data engineer 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 data engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

How do bioinformatics data engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

What are the key skills and qualifications needed to thrive as a bioinformatics data engineer, and why are they important?

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.

What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?

AspectBioinformatics Data 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 EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What are popular job titles related to Bioinformatics Data Engineer jobs in Katy, TX?

For Bioinformatics Data Engineer jobs in Katy, TX, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Engineer jobs in Katy, TX look for?

The top searched job categories for Bioinformatics Data Engineer jobs in Katy, TX are:

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

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

Bioinformatics Data Engineer jobs near you
Infographic showing various Bioinformatics Data Engineer job openings in Katy, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $120,239 per year, or $57.8 per hour.

Staff Bioinformatics Software Engineer

CooperCompanies

Houston, TX • On-site

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago

Job description


The Cooper Surgical R&D Software team within Cooper Surgical is dedicated to developing and maintaining cutting-edge software solutions. We are expanding our team to provide digital capabilities for the Life Sciences product portfolio. As a Staff Bioinformatics Software Engineer on the CSI Software R&D team, you will lead the charge in the design, development and maintenance, and innovation of digital solutions that underpin the Life Science products, with a focus on high throughput next generation sequencing data and analysis platform that powers CooperSurgical's genetic testing product offerings, along with steering new initiatives and pioneering state-of-the-art software solutions, providing guidance and expertise. This role will report to the Head of Software Development and have a dotted line reporting to the Head of Life Sciences.
As a Staff Bioinformatics Software Engineer on the Cooper Surgical R&D Software Development team, you will assume a technical leadership role in designing, developing, maintaining, enhancing, and supporting internal-facing software products. This position will require a high level of technical expertise, with a focus on designing and delivering advanced Bioinformatics solutions, statistical modeling, and next generation sequencing algorithm and analysis pipelines for detection and interpretation of complex genomic features. You will collaborate closely with a multidisciplinary team of bench scientists with expertise in molecular and cellular biology as well as Operations and Quality teams and be responsible for the evolution of existing offerings and leading the development of new software products and services, while also specializing in key areas.
Responsibilities
Responsibilities:
  • Lead the design and development of new features and enhancements for Cooper Bioinformatics products and applications, as well as new products and initiatives to meet the evolving needs of our business.
  • Play a pivotal role as a Bioinformatics Software Development subject matter expert, demonstrating deep expertise in analyzing and interpreting biological data using statistical and computational techniques.
  • Collaborate with biologists to design experiments and analyze data outcomes
  • Work on algorithm development for sequence analysis, gene prediction, and other applications
  • Drive the evolution of software development practices, including identifying opportunities for automation, efficiency, and innovation.
  • Mentor and guide junior engineers, fostering their growth and development.
  • Collaborate with the team to set the direction of future development within current and future CSI projects, contributing to architectural decisions and technical strategy.

Qualifications
Knowledge, Skills, and Abilities:
  • Extensive experience in NGS algorithms and analysis pipeline development, including data workflows, processing pipelines, and bioinformatics file formats (FASTQ, SAM/BAM, VCF).
  • Strong experience in the design and optimization of targeted NGS panels, genome assemblies, and statistical modeling.
  • Extensive experience in high-level scripting languages used in bioinformatics, such as R or Python, with a proven track record of delivering complex, high-quality software solutions.
  • Extensive experience with the Linux operating system and its terminal commands. Knowledge of Bash scripting is a strong plus.
  • Extensive knowledge of common bioinformatics toolkits, including Bowtie 2, BWA, GATK, SAMtools, and FastQC.
  • Strong understanding of AWS cloud solutions, including S3, RDS, and EC2.
  • Familiarity with pipeline development tools such as Snakemake and Nextflow.
  • Strong experience with Git version control and software development best practices, including writing clean, maintainable code and designing modular, reusable components.
  • Familiarity with unit testing and test-driven development (TDD) methodologies to ensure high code quality and reliability.
  • Familiarity with containerization technologies such as Docker, as well as package management tools like Conda.
  • Knowledge of statistical methods such as Hidden Markov Models, along with a strong foundation in linear algebra, is a strong plus.
  • Familiarity with modern GPU-accelerated frameworks, such as NVIDIA Parabricks, is a strong plus.
  • Outcome-focused mindset with strong process discipline and a commitment to timely project delivery.
  • Strong interpersonal and communication skills, with the ability to collaborate effectively and mentor team members.
  • Strong commitment to continuous learning and staying current with emerging technologies

Work Environment:
  • Occasional domestic and international travel (~ 10%)
  • On-site in Houston, TX

Experience:
  • Minimum of 7 years of relevant experience, with track record of increase in responsibilities and leadership within the software development field.

Education:
  • Minimum bachelor's degree in computer science, bioinformatics, data science, mathematics, statistics or related field.
  • Master's or Ph.D. degree preferred.

As an employee of CooperSurgical, you'll receive an outstanding total compensation plan. As we believe your compensation goes beyond your paycheck, we offer a great compensation package, medical coverage, 401(k), parental leave, fertility benefits, paid time off for vacation, personal, sick and holidays, and multiple other perks and benefits. Please visit us at www.coopersurgical.com to learn more about CooperSurgical and the benefits of becoming a member of our team.
To all agencies: Please, no phone calls or emails to any employee of CooperSurgical about this opening. All resumes submitted by search firms/employment agencies to any employee at CooperSurgical via-email, the internet or in any form and/or method will be deemed the sole property of CooperSurgical, unless such search firms/employment agencies were engaged by CooperSurgical for this position and a valid agreement with CooperSurgical is in place. In the event a candidate who was submitted outside of the CooperSurgical agency engagement process is hired, no fee or payment of any kind will be paid.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. If you are interested in applying and require special assistance or accommodations due to a disability, please contact us at talent.acquisition@coopersurgical.com.

Apply