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Bioinformatics Data Engineer Jobs in Texas (NOW HIRING)

University of Pennsylvania

Bioinformatician A

Center, TX · On-site

$57K - $89K/yr

The position focuses on genomic data analysis, bioinformatics pipeline development, and ... The role requires proficiency in genomic data analysis tools, statistical programming (R, Python ...

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Bioinformatics Data Engineer information

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 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 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.

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 are popular job titles related to Bioinformatics Data Engineer jobs in Texas? For Bioinformatics Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Engineer jobs in Texas look for? The top searched job categories for Bioinformatics Data Engineer jobs in Texas are:
What cities in Texas are hiring for Bioinformatics Data Engineer jobs? Cities in Texas with the most Bioinformatics Data Engineer job openings:
Bioinformatics Data Engineer jobs near you
Infographic showing various Bioinformatics Data Engineer job openings in Texas as of July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution.
Staff Bioinformatics Software Engineer

Staff Bioinformatics Software Engineer

CooperSurgical

Houston, TX • On-site

Full-time

Re-posted 5 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.

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