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Internship Bioinformatics Software Engineer Jobs

The Bioinformatics Scientist will develop and apply computational methods to high-throughput ... software engineering practices. โ€ข Run the production pipelines for large-scale production ...

They are seeking a Bioinformatics Scientist to develop and implement computational approaches for ... software engineering practices. โ€ข Run the production pipelines for large-scale production ...

Overview Black Canyon Consulting (BCC) is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and ...

Overview Black Canyon Consulting (BCC) is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and ...

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ...

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ...

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ...

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Internship Bioinformatics Software Engineer information

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

As of Jul 1, 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.
More about Internship Bioinformatics Software Engineer jobs
What cities are hiring for Internship Bioinformatics Software Engineer jobs? Cities with the most Internship Bioinformatics Software Engineer job openings:
What are the most commonly searched types of Bioinformatics Software Engineer jobs? The most popular types of Bioinformatics Software Engineer jobs are:
What states have the most Internship Bioinformatics Software Engineer jobs? States with the most job openings for Internship Bioinformatics Software Engineer jobs include:
Infographic showing various Internship Bioinformatics Software Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Senior Software Developer (C++) in Bioinformatics and Big Data

Black Canyon Consulting LLC

Bethesda, MD โ€ข On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Senior Software Developer (C++) in Bioinformatics and Big Data

Black Canyon Consulting (BCC) is searching for a Sr. Software Developer in Bioinformatics and Big Data to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work.

NCBI, the National Center for Biotechnology Information, the nation's premier biomedical resource, is seeking a software developer to help deliver biological sequence annotation and data curation infrastructure for the nation's foremost sequence and biomedical literature repositories. Sites at NCBI, a part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH), see four million daily users searching for gene sequence data, biomedical journal citations, and a wide array of other information that directly impacts biomedical research and public health. NCBI's annotation pipelines not only serve these diverse expert communities โ€“ they actually drive new life sciences discoveries, ranging from medical health (viruses and pandemics, genetic diseases, cancer) to public health (food safety monitoring, antimicrobial resistance, viral outbreaks), to basic research topics in computational biology, bioinformatics and microbial diversity, and many more.

On a technical level, NCBI's wide range of applications, platforms (e.g. node, Python, Django, C++), and applications and environments (petabyte-level big data, multiple cloud providers) serve more users than the US Postal Service and see more traffic than the IRS at tax time. We embrace FAIR principles (Findable, Accessible, Interoperable, Reusable) and are on the cutting edge of civic tech and cloud computing.

This role calls for more than an expert coder and architect โ€“ someone who can work equally effectively with subject-matter experts, user researchers, designers, product managers, scientists, security and DevOps engineers, and more. Work with teams of dedicated, skilled developers, researchers, and product professionals as you build robust, flexible solutions serving dozens of production applications, APIs and services. Join us!

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Duties & Responsibilities:

  • Responsible for the development, implementation, testing, and continued maintenance of NCBI bioinformatics software and information retrieval systems
  • Work with a diverse group of scientists, bioinformaticians and other developers across the center to implement efficient bioinformatics algorithms
  • Learn new technologies, keep up with internal systems, and share your knowledge with the team

Required qualifications:

  • 5+ years of experience handling large amounts of data or working in a distributed computing environment
  • Programming experience in a Linux environment
  • Proficiency in C++
  • Experience with MS SQL server and relational database design and optimization
  • Fluency in some scripting languages such as BASH, csh, Perl, or Python

Preferred qualifications:

  • 5+ years of working with genetic and biological data
  • Proficiency in Python and/or JavaScript and familiarity with their associated ecosystems
  • Experience with MongoDB or other NoSQL database technology
  • Experience with Docker or other containerization mechanisms
  • Experience with CI/CD pipelines, unit testing, integration and regression testing
  • Experience using GitHub
  • Experience with Cloud technologies a strong plus