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Hourly Computer Science Bioinformatics Jobs in Texas

Degree in Computational Biology, Computer Science, or field as outlined in the essential duties. * Familiarity with the development of bioinformatics pipelines within Next Generation Sequencing and ...

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Hourly Computer Science Bioinformatics information

What types of projects might I work on as an hourly Computer Science Bioinformatics professional?

As an hourly Computer Science Bioinformatics professional, you can expect to be involved in projects such as analyzing large-scale biological datasets, developing bioinformatics tools or pipelines, and supporting research teams with data processing tasks. Your work may include tasks like writing scripts to automate data analysis, maintaining databases of genetic information, or collaborating with biologists to interpret results. The variety and scope of projects will often depend on the organization's focus—whether it's genomics, proteomics, or clinical research—and you may find yourself working both independently and as part of multidisciplinary teams.

What are the key skills and qualifications needed to thrive as an Hourly Computer Science Bioinformatics professional, and why are they important?

To thrive as an Hourly Computer Science Bioinformatics professional, you need a strong background in computer science, programming (such as Python or R), and a solid understanding of biological data analysis, often supported by a degree in bioinformatics, computer science, or related fields. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), databases, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills and qualities are crucial for generating accurate insights from biological datasets and driving successful research outcomes.

What is an Hourly Computer Science Bioinformatics job?

An Hourly Computer Science Bioinformatics job involves applying computer science techniques to solve biological data problems, such as analyzing DNA sequences or managing large biological datasets. These roles are typically temporary or contract-based, where individuals are paid by the hour rather than salaried. Bioinformaticians in these positions may work on tasks like developing algorithms, writing code for data analysis, or supporting research projects. The flexibility of hourly work allows companies to hire experts for specific projects or periods of need.
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 Hourly Computer Science Bioinformatics jobs in Texas? For Hourly Computer Science Bioinformatics jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Hourly Computer Science Bioinformatics jobs? Cities in Texas with the most Hourly Computer Science Bioinformatics job openings:
Staff Bioinformatics Software Engineer

Staff Bioinformatics Software Engineer

CooperSurgical

Houston, TX • On-site

Full-time

Re-posted yesterday


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.