As a student or early in your career, a bioinformatics internship is an excellent way to learn about the intersection of biology, data, and computer science. Whether you are studying genetics, biotechnology, computer science, or a combination of fields, this type of internship gives you hands-on exposure to what it actually feels like to work in a lab, research center, or healthcare-based data team. Students often apply for these internships because they want more than textbook knowledge. They want real-world experience solving problems, analyzing complex datasets, and using actual bioinformatics tools to help scientists uncover biological patterns or improve patient care.
This internship is especially popular with undergraduates and recent grads because it gives them a competitive edge when applying for research jobs, grad school, or industry roles later on. It is also one of the few roles where your skills in coding, statistics, and life sciences all come together. Interns are usually treated like junior team members and asked to help clean up genomic data, build simple pipelines, test scripts, or assist in creating visualizations for scientific reporting. It is not just a resume booster. It is a crash course in how modern biology and data-driven research really work behind the scenes.
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Bioinformatics Internship Remote USA | Open Roles 2025
What Interns Actually Work On and the Tools They Use?
Bioinformatics interns do more than sit in front of a computer screen running code all day. Their role depends on the project and the team they join, but most interns get to work on live datasets that connect directly to real research. For example, if you’re interning at a university lab, you might be asked to support a team studying genetic mutations or protein interactions. In that setting, your job could involve writing scripts in Python or R, cleaning up messy data from sequencing machines, and running analysis models that test biological hypotheses. It is technical work, but it’s also creative and collaborative. You might not be leading experiments, but your code and logic could help drive major discoveries. The tools you use will depend on where you work, but here are some of the most commonly used platforms and skills:
- Basic scripting in Python, R, or Bash
- Familiarity with Unix or Linux environments
- Working knowledge of Bioconductor or BioPython
- Accessing and querying large biological databases (like Ensembl or NCBI)
- Data visualisation using tools like Gplot2, Matplotlib, or Shiny
- Version control with Git and GitHub
- Using Jupyter notebooks or RStudio for reproducible research
Most interns are not expected to be experts in every tool, but showing that you can learn quickly, write clean code, and explain your findings clearly will go a long way. You will likely start small and build your confidence over a few weeks with support from mentors or senior researchers.
Internship Types, Flexibility, and Popular Programs
There are many types of internships available in bioinformatics, depending on where you apply and your current level of experience. Some are research-focused and take place in universities or academic labs. Others are offered by pharmaceutical companies or hospitals where interns help with data-heavy healthcare projects. There are also specialised internships offered by government institutions or biotech startups working on new tools or platforms. Interns in clinical bioinformatics roles might support diagnostic teams with genomic testing and variant interpretation. In contrast, industry interns might work on commercial tools or databases used by other researchers.
Many students also search for flexible options like remote internships in bioinformatics or part-time roles during the school year. These allow you to work on real projects from home while staying on track with your coursework. Others look for summer-only programs that give full-time exposure for about ten to twelve weeks. If you are trying to find something location-based, searches like bioinformatics internships near me can help you discover hospital labs, university departments, or even independent projects in your region. A few well-known programs are worth exploring:
- NIH Bioinformatics Internship
- Broad Institute Summer Research Program
- EMBL European Bioinformatics Institute internships
- Cold Spring Harbor Lab internships
- Bioinformatics internships at pharmaceutical companies like Roche or Illumina
- University-sponsored programs for undergraduates in computational biology
These programs are competitive, but if you prepare early, focus on your resume, and show you have coding or data skills alongside your bio background, you’ll stand out.
Types of Internships You Can Apply For
Bioinformatics internships come in many different formats depending on where you apply. Some are research-intensive positions inside university labs, while others are project-based roles at pharmaceutical companies or health tech startups. What makes each type unique is the kind of data you work with and the level of independence you are given during the internship. If you are looking for something that aligns with your major or long-term interests, it’s smart to check what the lab or company focuses on before applying.
In academic labs, interns usually support ongoing research projects. These can range from studying rare diseases to analyzing the microbiome or even helping AI models trained to find cancer markers. In contrast, private companies often give interns small independent projects tied to product development, drug discovery pipelines, or internal data tools. There are also roles in hospitals or public health departments where interns assist with clinical data interpretation or genomic recordkeeping. All these internships help you grow, but each one builds slightly different skill sets.
Popular Internship Formats Available
Internships in this field are flexible in how they are offered. While full-time, in-person summer programs are the most common, there are also many remote, part-time, and contract-based options available — especially since bioinformatics work is mostly digital and often cloud-based. Here are some formats you’ll come across:
- Summer Internship in Bioinformatics – These programs usually run for 8 to 12 weeks and often include mentorship, project work, seminars, and end-of-term presentations.
- Remote Bioinformatics Internship – This offers location flexibility, usually with regular online check-ins, independent scripting work, and sync tasks with virtual mentorship.
- Research-Focused Internships for Undergraduates – Ideal for students in biology or data programs looking to gain lab credits or experience for grad school.
- Industry-Based Internships – Found in biotech companies or pharma firms where interns contribute to product teams or engineering groups.
- Government and Public Health Roles – NIH bioinformatics internship options and local health research centers often offer internships with a public data focus.
Remote internships are especially valuable for students without local access to major research institutions. While the experience may be less hands-on compared to in-person roles, you still gain access to real data, mentorship, and collaborative tools.
Summer Internship Opportunities: What to Expect
A bioinformatics summer internship is one of the best ways to get immersed in the field. These programs typically begin around May or June and run through late July or August, giving students a chance to work full-time without interfering with school schedules. The best part about summer roles is that they are often more structured, with scheduled onboarding sessions, weekly progress meetings, and a final presentation to wrap things up. This structure is helpful if you are new to the field and want clear direction while you learn.
You may be asked to join a research project already in motion or be given a defined mini-project of your own. Some internships offer the chance to co-author posters or research papers, depending on your contribution and performance. Many summer programs also host talks by guest researchers, resume workshops, or networking events, especially those at major universities or institutions like the National Institutes of Health. These extras help you explore career paths beyond just the work you’re doing during the internship.
General Requirements Most Internships Include
Each internship will have its own list of must-haves, but you’ll see a pattern in what most of them ask for. The basics usually include being currently enrolled in a degree program, having a resume that shows either a coding or biology interest, and being ready to commit to the entire internship period. In general, these requirements are required:
- Actively enrolled in an undergraduate or graduate program (biology, bioinformatics, data science, computer science, or related).
- Familiarity with at least one programming language such as Python, R, or Java.
- Some understanding of genetics, genomics, or molecular biology.
- Interest in computational work and research environments.
- Ability to work independently or in small groups.
- Good written and verbal communication.
- Availability during the internship period (especially for summer programs).
If you are applying for a remote role, you may also need a laptop with basic data tools installed, a stable internet connection, and comfort using platforms like Zoom or GitHub. Some organizations even loan out accounts or tools to students without access to paid software, so it’s always worth checking.
Skills and Tools That Give You an Advantage
Even though these internships are designed to teach you, showing that you’ve done some preparation makes a huge difference. You don’t need to be a coding genius or a published researcher, but a basic toolkit goes a long way. If you can point to a project where you worked with large data sets, used public biological databases, or cleaned messy data using Python or R, you’re already ahead of many applicants.
- Python, especially for automating data analysis or cleaning large sets
- R and Bioconductor for statistical modelling and biological visualisation
- Experience using databases like NCBI, Ensembl, or UCSC Genome Browser
- Familiarity with tools like Jupyter Notebook, RStudio, or basic command-line scripting
- Version control using GitHub
- Writing summaries or reports based on scientific results
- Any experience creating plots, graphs, or dashboards from raw data
Additionally, many interns also bring knowledge from other areas like chemistry, public health, or math, which gives them unique ways to approach problems. So, you don’t have to stick only to biology since internships welcome different angles, especially in interdisciplinary research. The more flexible you are, the more useful you become to the team you’re working with. Helpful skills include:
Where to Find Internships?
Finding a bioinformatics internship can feel overwhelming at first, but once you know where to look, it becomes much easier to track real opportunities. Most students start by checking the careers or research pages of major universities and biotech firms. These places often offer summer internships that are open to external students, not just those already enrolled there. You can also explore research labs through programs funded by government grants or non-profit initiatives that aim to support undergraduates in STEM.
Large platforms like LinkedIn, Handshake, and Indeed also post bioinformatics roles frequently. Academic platforms like the NIH, EMBL, and other research consortia publish paid internship calls each season. Reddit threads and Discord servers for computational biology and bioinformatics sometimes share listings before they go public, so it helps to join communities and stay active. Top places to look include:
- University research labs and biomedical departments
- NIH and national health research centers
- Large biotech and pharmaceutical companies
- Public health research institutions
- LinkedIn and job boards filtered by student roles
- Reddit forums like r/bioinformatics and r/internships
- Lab websites of professors doing bioinformatics work
- Global platforms like EMBL or EBI (for Europe-based internships)
Why This Internship is Worth It?
Doing a professional internship in bioinformatics gives you more than just a line on your resume. It builds practical skills that are hard to learn in class, like handling real genomic data, working in research teams, or using industry tools in a live project environment. These internships are also a safe space to make mistakes, ask questions, and figure out where you fit into the broader world of science, data, and healthcare. You learn what daily work looks like in research labs, pharma companies, or public health organisations, which helps you plan your future more clearly.
A good internship can lead to future job offers, mentorships, and recommendation letters. You also walk away with mini-projects or datasets you can add to your portfolio or GitHub. If you’re planning to apply to grad school, these internships also show admissions teams that you have hands-on research experience and can apply knowledge in real settings. Many students say their internships gave them more confidence to work in STEM, helped them pick a grad school direction, or even sparked interest in a new field like computational biology or precision medicine.
Salary and Stipend Details
Not every internship in bioinformatics is paid, but many reputable ones offer decent compensation, especially during the summer. Internships at large companies or research hospitals tend to offer the highest stipends, while academic roles funded through fellowships or grants may offer a basic stipend just enough to cover food and travel. NIH and government-funded programs often have set payment ranges depending on your student level.
Paid internships in this field can range anywhere from $18 to $28 per hour for undergraduate interns. Some summer programs offer flat stipends of between $3,000 and $6,000 for 8 to 12 weeks of work. Remote internships may offer a bit less, but they also save you commuting costs and may come with flexible hours. What affects the salary? Here’s the info.
- Whether it’s hosted by a private company, university, or government institute
- Your education level (undergraduate, graduate, or high school senior)
- The location of the internship (remote vs on-site, local cost of living)
- The size of the hosting organisation and its funding
Internships also sometimes offer housing stipends, free meals, transportation cards, or conference access. These perks may not be direct salary but still add a lot of value to your overall experience.
How to Apply for a Bioinformatics Internship?
Most applications for a Bioinformatics Internship follow the usual steps but may also ask for specific research interests or a short technical task. You’ll usually need a resume, a cover letter tailored to bioinformatics, and, if available, a link to your GitHub or a portfolio of personal or academic projects. Some programs may ask for a transcript or a recommendation letter, especially if they’re hosted by academic institutions. Your cover letter is your chance to show not just your interest but how your current skills fit into the lab or company’s focus. Applying for the program can be done in the following steps:
- Find internship listings on university sites, biotech firms, or research centers
- Read the role description carefully to understand what they’re looking for
- Tailor your resume to highlight any coursework, skills, or side projects
- Write a short, clear cover letter focused on your interests and experience
- Submit any required documents like transcripts or reference letters
- Apply as early as possible, especially for summer programs
- Follow up if you haven’t heard back after a few weeks
Summary:
An internship in the field of bioinformatics is one of the smartest ways to step into the world of computational biology, especially for students, fresh grads, or career switchers who want real, hands-on experience. Whether you’re working on gene sequencing, clinical research, or data analytics, these internships will help you understand how tech and biology work together in real-world settings. From remote and paid roles to summer programs and lab-based projects, there’s something for everyone, even if you’re starting with no experience. You’ll gain technical skills, build up an impressive portfolio, and connect with researchers or mentors who can guide your career further. If you’re curious, motivated, and willing to learn, this internship can open up huge doors to science, research, and health tech.