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Internship Bioinformatics Software Engineer Jobs

Staff Engineer, Infrastructure Platforms

Menlo Park, CA · Hybrid

$126K - $166K/yr

This role partners closely with Research, Bioinformatics, Software Engineering, Information Security, and IT Operations to design, build, automate, secure, and continuously improve infrastructure ...

New

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

... software engineering best practices including wireframe design, unit testing, version control, code review, and security and compliance. Qualifications : Required : • B.S. /M.S. /PhD in ...

... NCBI bioinformatics software and information retrieval systems * Work with a diverse group of ... Programming experience in a Linux environment * Proficiency in C++ * Experience with MS SQL server ...

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

They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical ... software engineers to integrate pipelines into broader analytical ecosystems • Stay current with ...

... NCBI bioinformatics software and information retrieval systems * Work with a diverse group of ... Programming experience in a Linux environment * Proficiency in C++ * Experience with MS SQL server ...

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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 22, 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 July 2026, with employment types broken down into 5% As Needed, 66% Full Time, 10% Part Time, 1% Temporary, 1% Contract, and 17% Nights. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Customer Success Engineer, Bioinformatics

Customer Success Engineer, Bioinformatics

Watershed Informatics

Cambridge, MA • On-site

Full-time

Posted 6 days ago


Job description

About Watershed
Our vision is to become the leading biocomputing platform. The future of biology is in big data analysis, and we are on a mission to accelerate digital drug discovery with the Watershed platform. Watershed enables scientists to conduct all essential analysis - from lab data to plot - with a single software platform.
We have attracted some of the best bioinformatics, engineering, and commercial talent, and we are growing! Join a team that's intellectually curious with a bias for action, headquartered in Cambridge, Massachusetts, composed of people who have come together to enable outcomes while empowering the research of all those committed to changing lives - all while bringing transformational change to a $40 billion industry.
About the Role
Customer Success Engineers work at the intersection of software engineering, bioinformatics, and customer success to understand and fulfill customer support needs.
Customers choose Watershed to analyze and share large biological data sources in flexible, powerful computing environments. Customers will engage you as a first escalation point - you will draw on a knowledge of Linux systems, software engineering, and bioinformatics to unpack and resolve requests.
You will track down support requests across the platform, partnering with our Product Manager and Head of Operations. Expect variety in the complexity and kinds of technology and bioinformatics challenges you face. As you troubleshoot recurring issues, you will document and elevate common requests and fixes to improve future support.
Responsibilities
  • Develop an intimate understanding of how customers use the Watershed platform.
  • Analyze and share data on customer usage, activity, and trends. Suggest upsell opportunities and advise on account-specific insights.
  • Triage, manage, and resolve incoming customer support requests. Requests will vary in complexity from Level 1 support to interrelated Linux, software, and bioinformatics issues.
  • Establish and uphold company support standards. Create resolution metrics and expand support programs as needed.
  • Create & manage a system for documenting solutions and workarounds for recurring requests so team members can resolve similar issues quickly.
  • Write platform guides and FAQs to support new feature rollouts. Develop case studies detailing tailored customer solutions.
  • Directly report to the Head of Operations & CEO. Escalate key support insights (i.e., 'buggy functions' or common user misunderstandings).
  • Ensure an excellent user experience on the Watershed platform

Qualifications
  • 1-3 years of professional experience supporting technical and non-technical customers as a bioinformatician. Experience working in a bioinformatics consultancy is strongly preferred
  • A working understanding of Linux commands, system troubleshooting, and Docker.
  • Proficiency with any one of Bash, Python, or R. Familiarity with all three is preferred.
  • Familiarity with bioinformatics, computational biology, or a Masters in Bioinformatics is preferred