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Computer Science Bioinformatics Jobs in Texas (NOW HIRING)

Master's degree in Bioinformatics, Computational Biology, Genetics, Data Science, Computer Science, or related field About Us: Cook Children's Health Care System Cook Children's Health Care System ...

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Computer Science Bioinformatics information

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How much do computer science bioinformatics jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for computer science bioinformatics in Texas is $39.86, according to ZipRecruiter salary data. Most workers in this role earn between $39.66 and $40.10 per hour, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

Bioinformatics professionals use AI and machine learning tools to analyze biological data, but AI is designed to augment rather than replace human expertise in interpreting complex biological information. Skills in programming, data analysis, and understanding biological concepts remain essential for bioinformatics roles, with AI serving as a complementary tool to improve efficiency and accuracy.

Is bioinformatics a high paying job?

Bioinformatics professionals, including those with roles in computer science and biology, often earn competitive salaries due to their specialized skills in programming, data analysis, and biological research. Salaries vary based on experience, education, location, and industry, but many positions offer above-average compensation compared to other entry-level science roles.

How is computer science used in bioinformatics?

In bioinformatics, computer science provides tools and methods for analyzing biological data, such as DNA, RNA, and protein sequences. It involves developing algorithms, databases, and software to interpret large datasets, enabling discoveries in genomics, drug development, and personalized medicine. Skills in programming, data structures, and computational modeling are essential for bioinformatics roles.

What are some typical daily responsibilities for someone working in Computer Science Bioinformatics?

Professionals in Computer Science Bioinformatics typically spend their days designing and implementing algorithms to analyze large-scale biological datasets, developing custom software tools, and interpreting results to support ongoing research. Collaboration with biologists, clinicians, and other computational scientists is common, requiring regular meetings to discuss project goals, troubleshoot issues, and refine data analysis approaches. You may also be expected to keep up with new technologies and scientific literature to ensure your methods remain cutting-edge. The dynamic nature of this field means your tasks can evolve quickly, providing opportunities to tackle novel problems and drive meaningful impact in science and medicine.

What are the key skills and qualifications needed to thrive in the Computer Science Bioinformatics position, and why are they important?

To thrive in Computer Science Bioinformatics, you need a solid background in computer science, biology, and statistics, often supported by a relevant degree or advanced certification. Proficiency in programming languages such as Python, R, and experience with bioinformatics tools and databases like BLAST, GenBank, and cloud platforms are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for this interdisciplinary field. These skills allow professionals to efficiently analyze complex biological data, collaborate with cross-functional teams, and contribute to critical discoveries in healthcare and biotechnology.

What is a Computer Science Bioinformatics job?

A Computer Science Bioinformatics job involves using computational techniques to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this field develop algorithms, software tools, and databases to support biological research and medical advancements. They work in areas like genomics, drug discovery, and personalized medicine, often collaborating with biologists, chemists, and healthcare professionals. Strong programming skills, data analysis expertise, and knowledge of biology are essential for success in this field.

What jobs can I get with bioinformatics?

With a background in bioinformatics, common job roles include bioinformatics analyst, computational biologist, research scientist, and data analyst. These positions often require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, and SQL.
What are the most commonly searched types of Computer Science Bioinformatics jobs in Texas? The most popular types of Computer Science Bioinformatics jobs in Texas are:
What are popular job titles related to Computer Science Bioinformatics jobs in Texas? For Computer Science Bioinformatics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Computer Science Bioinformatics jobs in Texas look for? The top searched job categories for Computer Science Bioinformatics jobs in Texas are:
Infographic showing various Computer Science Bioinformatics job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $82,917 per year, or $39.9 per hour.
Staff Bioinformatics Software Engineer

Staff Bioinformatics Software Engineer

CooperSurgical

Houston, TX • On-site

Full-time

Posted 17 days ago


Job description

Job Summary:
CooperSurgical is dedicated to developing and maintaining cutting-edge software solutions for the Life Sciences product portfolio. As a Staff Bioinformatics Software Engineer, you will lead the design and development of innovative digital solutions, focusing on high throughput next generation sequencing data and analysis platforms. This role involves collaborating with a multidisciplinary team to enhance existing offerings and develop new software products.
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:
Required:
• Minimum of 7 years of relevant experience, with track record of increase in responsibilities and leadership within the software development field.
• Minimum bachelor’s degree in computer science, bioinformatics, data science, mathematics, statistics or related field.
• 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.
Preferred:
• Master’s or Ph.D. degree
Company:
CooperSurgical provides a full portfolio of medical and surgical products. It is a sub-organization of The Cooper Companies. Founded in 1990, the company is headquartered in Trumbull, USA, with a team of 1001-5000 employees. The company is currently Late Stage.