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Internship Bioinformatics Computational Biology Jobs

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Computational Biologist

Palo Alto, CA · On-site

PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of relevant experience in industry. * Extensive hands-on experience processing and analyzing bulk and/or ...

Nationwide Children's Hospital

Analyzes biological data using computational tools to extract meaningful insights and patterns for research and development purposes. Essential Functions: * Analyzes biological data to identify ...

micro1 AI

Computational Biologist - AI Reviewer

Waco, TX · On-site +1

$90 - $120/hr

Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field. * Demonstrated expertise in medicinal chemistry, including experience ...

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How much do internship bioinformatics computational biology jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship bioinformatics computational biology in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.
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Internship Bioinformatics Computational Biology jobs near you
Infographic showing various Internship Bioinformatics Computational Biology job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Senior Bioinformatics Software Engineer

Morpheus Group

Houston, TX

Full-time

Posted 9 days ago

Job description

We are seeking an experienced Senior/Staff-Level Bioinformatics Software Engineer to provide technical leadership in the design, development, and enhancement of advanced bioinformatics software solutions. This role combines software engineering, computational biology, and data science expertise to support genomic data analysis, next-generation sequencing (NGS) workflows, and the development of scalable analytical platforms.
Key Responsibilities
  • Architect and develop innovative bioinformatics applications, analytical tools, and data processing solutions.
  • Lead the creation and optimization of genomic analysis pipelines focused on sequence interpretation, variant detection, and complex biological data analysis.
  • Partner with scientists, researchers, and cross-functional stakeholders to design studies, analyze results, and translate biological requirements into software solutions.
  • Drive technical strategy and contribute to architectural decisions for current and future software platforms.
  • Improve development processes through automation, best practices, and modern engineering methodologies.
  • Mentor engineering team members and serve as a technical resource across projects. Desired Qualifications
  • Strong background in bioinformatics software development with expertise in NGS data analysis and genomic workflows.
  • Experience working with common bioinformatics formats and tools, including sequencing alignment, variant analysis, and quality control frameworks.
  • Advanced programming skills in Python, R, or similar languages used in scientific computing.
  • Proficiency with Linux environments, cloud computing platforms, and workflow orchestration tools.
  • Experience with software development best practices, source control, testing methodologies, and containerized environments.
  • Excellent communication, leadership, and collaboration skills with the ability to work effectively across scientific and technical teams.

Background
  • Bachelor's degree in Computer Science, Bioinformatics, Data Science, Statistics, Mathematics, or a related field required; advanced degrees preferred.
  • Approximately 7+ years of experience in software engineering, bioinformatics, computational biology, or a related discipline, including demonstrated technical leadership.

This opportunity is ideal for a bioinformatics professional who enjoys leading complex technical initiatives, building scalable genomics solutions, and working at the intersection of software engineering and life sciences