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Internship 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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Internship Computer Science Bioinformatics information

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is not expected to fully replace the field. Bioinformatics professionals, including those in internship roles, will continue to develop and interpret AI-driven models, requiring skills in programming, data management, and biological knowledge.

What are the big 4 internships?

The 'Big 4' internships typically refer to the internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for computer science bioinformatics students interested in data analysis, cybersecurity, or technology consulting within a professional services environment.

What jobs can I get with a degree in bioinformatics?

A degree in bioinformatics can lead to roles such as bioinformatics analyst, computational biologist, research scientist, or data analyst in healthcare, pharmaceuticals, or biotech companies. These positions often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL.

Which internship is best for a CS student?

The best internship for a CS student depends on their interests and career goals, but bioinformatics internships often involve working with biological data, programming in languages like Python or R, and using tools such as Linux or cloud platforms. Look for internships that offer hands-on experience, mentorship, and opportunities to develop skills in data analysis, algorithms, and software development. Certifications or coursework in biology or data science can also enhance your application.

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

AspectInternship Computer Science BioinformaticsInternship Data Science
Required CredentialsComputer Science or Bioinformatics coursework, programming skillsStatistics, programming, data analysis skills
Work EnvironmentResearch labs, biotech companies, healthcare settingsTech firms, finance, consulting, research institutions
Employer & Industry UsageBiotech, healthcare, academic researchTechnology, finance, marketing, consulting

Internship Computer Science Bioinformatics focuses on applying computer science skills to biological data, often in healthcare or research settings. In contrast, Internship Data Science emphasizes analyzing large datasets across various industries. Both internships require programming knowledge but differ in domain focus and industry application.

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 cities in Texas are hiring for Internship Computer Science Bioinformatics jobs? Cities in Texas with the most Internship Computer Science Bioinformatics job openings:
Internship Computer Science Bioinformatics jobs near you
Staff Bioinformatics Software Engineer

Staff Bioinformatics Software Engineer

CooperSurgical

Houston, TX • On-site

Full-time

Posted 2 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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