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How much do internship bioinformatics software engineer jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for internship bioinformatics software engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectInternship Bioinformatics Software Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Bioinformatics, or related fields
Work EnvironmentResearch labs, biotech companies, or academic institutions
Employer & Industry UsageUsed in biotech, pharmaceutical, and research organizations for software development
Common Search & ComparisonCompared for entry-level software development roles in bioinformatics

While both roles involve working with biological data, an Internship Bioinformatics Software Engineer focuses on developing software tools and algorithms, often requiring programming skills and software development knowledge. A Bioinformatics Data Analyst primarily analyzes biological data, using statistical and data visualization tools. The internship provides hands-on experience in coding and software creation, whereas a data analyst role emphasizes data interpretation and reporting.

What does an Internship Bioinformatics Software Engineer do?

An Internship Bioinformatics Software Engineer assists in developing and maintaining software tools used to analyze biological data, such as DNA sequences or protein structures. They often work under the supervision of senior engineers and scientists to write code, troubleshoot issues, and implement algorithms for biological research. Interns may also help process large datasets, visualize results, and collaborate with interdisciplinary teams. This role provides hands-on experience in both software development and the application of computational methods to biological problems.

What types of projects do Internship Bioinformatics Software Engineers typically work on, and how do these projects contribute to their professional development?

Internship Bioinformatics Software Engineers often work on projects involving the development and optimization of software tools for analyzing large biological datasets, such as genomic sequences or protein structures. These projects frequently require collaboration with biologists and data scientists, offering valuable exposure to interdisciplinary teamwork. Interns may be tasked with writing code, testing algorithms, or visualizing data, all of which build practical skills in both software engineering and bioinformatics. This hands-on experience not only enhances technical proficiency but also helps interns better understand real-world applications in life sciences, setting a strong foundation for future career growth.

What are the key skills and qualifications needed to thrive as an Internship Bioinformatics Software Engineer, and why are they important?

To thrive as an Internship Bioinformatics Software Engineer, you need a foundational understanding of programming (often in Python, R, or Java), basic knowledge of molecular biology or genomics, and current pursuit of a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (such as BLAST, Bioconductor, or Galaxy), version control systems like Git, and experience analyzing biological datasets are typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn in multidisciplinary teams. These skills and qualities ensure interns can contribute to meaningful research, adapt quickly to new technologies, and facilitate teamwork in complex scientific environments.
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Internship Bioinformatics Software Engineer jobs near you
Infographic showing various Internship Bioinformatics Software Engineer job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Bioinformatics Software Engineer

AccuraGen

San Jose, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Job description

As a Bioinformatics Software Engineer at AccuraGen, you will develop, optimize, and maintain bioinformatics pipelines utilizing AWS infrastructure and Nextflow workflow management systems. Your contributions will directly impact innovative scientific discoveries and product development. You'll collaborate closely with scientists, engineers, and researchers, contributing your technical expertise to streamline processes, maintain automation, and drive our bioinformatics capabilities forward.
Responsibilities:
  • Design, implement, and develop tests and documentation for established robust bioinformatics pipelines.
  • Optimize computational workflows for high-performance execution and reproducible data analysis.
  • Maintain, monitor, and improve pipeline automation to ensure smooth operational workflows.
  • Manage GitHub repositories, oversee version control, and streamline the software release process.
  • Develop and manage infrastructure on AWS to ensure scalability, reliability, and efficiency.
  • Collaborate with cross-functional teams to integrate bioinformatics solutions.
  • Proactively identify opportunities to enhance infrastructure efficiency and security.

Requirements
Qualifications:
    • Bachelor's degree or higher in Bioinformatics, Computational Biology, Computer Science, or a related field. with at least 3+ years of working experience out of college.
    • Experience with bioinformatics workflow development and optimization, particularly using Nextflow.
    • Experience developing software following best practices, including comprehensive testing and clear documentation.
    • Proficiency in scripting languages (Python, Bash) and familiarity with container technologies (Docker, Kubernetes).
    • Hands-on experience with AWS cloud computing services (EC2, S3, Batch, Lambda).
    • Excellent communication and collaborative skills.

Preferred Qualifications:
  • Familiarity with CI/CD practices.
  • Experience with infrastructure-as-code (Terraform, CloudFormation).

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Paid Time Off (Vacation, Sick & Public Holidays)

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