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Evening Computer Science Bioinformatics Jobs in Texas

Vytwo

Bioinformatics Pipeline Test Engineer

Prosper, TX · On-site

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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Evening Computer Science Bioinformatics information

What are Evening Computer Science Bioinformatics jobs?

Evening Computer Science Bioinformatics jobs are positions that primarily take place during evening hours and focus on applying computational methods to analyze biological data. These roles may involve tasks such as writing code to process genetic information, developing algorithms for biological research, and supporting laboratories or research teams outside traditional business hours. Such jobs are ideal for individuals seeking flexible schedules, including students or professionals who prefer working later in the day. Common employers include research institutions, hospitals, and biotech companies with extended operational hours.

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

To excel as an Evening Computer Science Bioinformatics professional, you generally need a solid background in computer science, biology, and data analysis, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (like BLAST and Bioconductor), and knowledge of databases are typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies ensure accurate analysis, meaningful insights, and seamless integration of computational solutions to biological research challenges.

What are some common challenges faced by professionals working evening shifts in computer science bioinformatics roles?

Professionals in evening computer science bioinformatics positions may encounter challenges such as coordinating with daytime teams, balancing work-life commitments, and managing access to resources that may be less available after hours. Communication with colleagues in different shifts often requires proactive planning to ensure seamless project handoffs and data sharing. However, the evening schedule can also offer a quieter environment for focused analysis and coding, which some professionals find conducive to productivity.

What is the difference between Evening Computer Science Bioinformatics vs Evening Data Science?

AspectEvening Computer Science BioinformaticsEvening Data Science
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; certifications like Certified Bioinformatics ProfessionalBachelor's or Master's in Data Science, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentResearch labs, healthcare, biotech companies, academic institutionsTech companies, finance, marketing, healthcare, consulting firms
Employer & Industry UsagePrimarily in biotech, healthcare, academiaAcross various industries including tech, finance, and retail

Evening Computer Science Bioinformatics focuses on analyzing biological data using computational methods, often in healthcare or research settings. Evening Data Science involves extracting insights from large datasets across multiple industries. While both roles require strong programming skills and statistical knowledge, their application areas and industry focus differ significantly.

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:
Evening Computer Science Bioinformatics jobs near you
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.

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