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Internship Computational Immunology Jobs (NOW HIRING)

Benaroya Research Institute

Staff Scientist

Seattle, WA

$72K - $111K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... integrate computational and systems immunology approaches into experimental design and data ... interns, and volunteers. * Help establish and optimize new Lab methods and workflows and oversee ...

Benaroya Research Institute

Staff Scientist

Seattle, WA · On-site

$72K - $111K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... integrate computational and systems immunology approaches into experimental design and data ... interns, and volunteers. * Help establish and optimize new Lab methods and workflows and oversee ...

Benaroya Research Institute

Staff Scientist

Seattle, WA · On-site

$72K - $111K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... integrate computational and systems immunology approaches into experimental design and data ... interns, and volunteers. * Help establish and optimize new Lab methods and workflows and oversee ...

University of Chicago Library

Research Technician

Hyde Park, VT · On-site

$17.75 - $24.50/hr

  • Medical

  • Retirement

  • PTO

... in computational or experimental biology who will work collaboratively with the Principal ... Assists with training new lab members and interns. * Assists in maintaining an organizing lab space ...

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Internship Computational Immunology information

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$11

$19

$29

How much do internship computational immunology jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for internship computational immunology in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is an internship in computational immunology?

An internship in computational immunology is a temporary position that allows students or recent graduates to gain practical experience working with computational approaches to study the immune system. Interns typically use bioinformatics, data analysis, and computer modeling to analyze immunological data, such as sequencing data or immune responses. This experience helps build skills in both biology and computer science, and often involves working on research projects in academic, pharmaceutical, or biotech settings.

What types of projects or tasks can I expect to work on during a computational immunology internship?

As an intern in Computational Immunology, you will likely assist with analyzing large biological datasets, such as genomic or proteomic data, to identify patterns related to immune responses. Common tasks include data preprocessing, running bioinformatics pipelines, and developing or applying computational models to predict immune cell behavior. You may also collaborate closely with immunologists and data scientists, contributing to experimental design or helping interpret results for ongoing research projects. This hands-on experience is valuable for building skills in both computational analysis and immunology, and often provides a pathway to more advanced research roles.

What are the key skills and qualifications needed to thrive in a computational immunology internship, and why are they important?

To thrive as an intern in Computational Immunology, you need a solid background in biology, immunology, and computational methods, often supported by coursework or experience in bioinformatics or related fields. Familiarity with programming languages such as Python or R, statistical analysis tools, and relevant databases is typically required. Strong analytical thinking, curiosity, and effective communication are standout soft skills for collaborating on research and interpreting complex data. These skills enable interns to contribute meaningfully to research projects, facilitate interdisciplinary teamwork, and advance scientific understanding in immunology.

What is the difference between Internship Computational Immunology vs Computational Immunologist?

AspectInternship Computational ImmunologyComputational Immunologist
CredentialsEnrolled in or recent graduate of relevant degree (e.g., immunology, bioinformatics)Advanced degree (Master's or PhD) in immunology, bioinformatics, or related fields
Work EnvironmentInternship programs, research labs, academic or biotech companiesResearch institutions, biotech firms, pharmaceutical companies
Employer & Industry UsageEducational and training purposes, entry-level experienceProfessional role, conducting research, developing models

Internship Computational Immunology provides hands-on training for students or recent graduates, focusing on gaining experience in computational methods applied to immunology. In contrast, a Computational Immunologist is a professional conducting independent research, developing models, and contributing to scientific advancements in immunology using computational techniques.

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Internship Computational Immunology jobs near you
Infographic showing various Internship Computational Immunology job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 63% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Immunology Intern

La Jolla Institute for Immunology

La Jolla, CA • On-site

Full-time, Internship

Medical, Dental, Vision, Retirement

Re-posted 5 days ago

Job description

Are you interested in gaining hands-on experience in the field of Immunology?
We are pleased to offer a unique internship opportunity for motivated undergraduate students to gain practical, hands-on experience with our cutting-edge immunology research program. Interns will work alongside experienced scientists, develop valuable laboratory and research skills, and contribute meaningfully to ongoing projects in a dynamic, collaborative research environment.
This internship is designed to provide immersive exposure to real-world scientific research while supporting students' academic and professional growth.
Responsibilities
Intern responsibilities may vary depending on lab placement and research focus, but typically include:
  • Conducting laboratory experiments and assays under the supervision of senior scientists
  • Assisting with data collection, analysis, and interpretation
  • Participating in lab meetings, seminars, and scientific discussions
  • Presenting research findings to lab members
  • Maintaining laboratory equipment, materials, and organization
  • Adhering to all laboratory safety protocols and maintaining a safe working environment

Qualifications
  • Currently enrolled in an undergraduate program in a relevant field (e.g., biology, immunology, biochemistry, or related disciplines)
  • Minimum GPA of 2.75
  • Previous laboratory experience preferred but not required
  • Strong organizational, communication, and teamwork skills
  • Demonstrated interest in immunology and biomedical research

Benefits
  • Hands-on experience in a world-class immunology research institute
  • One-on-one mentorship from experienced scientists and research staff
  • Exposure to advanced laboratory techniques and research methodologies
  • Professional development and networking opportunities
  • The opportunity to contribute to impactful, real-world immunology research

Program Requirements
  • Must be at least 18 years of age on or before the internship start date.
  • Completion of at least one year of college-level biology and chemistry coursework.
  • Ability to provide your own transportation to and from the Institute. *

How to Apply
Applicants are encouraged to review our Lab Directory to identify laboratories that align with their research interests. In your cover letter, please:
  • Reference the specific lab(s) you are interested in
  • Indicate whether you prefer wet-lab research, computational research, or a combination of both

Interested candidates should submit the following as a single combined document:
  • Brief cover letter detailing the type of works and labs you are interested in joining
  • Resume
  • Unofficial school transcript

This is a continuous posting. Applicants will be shared with labs at their request and reviewed based on lab availability and research needs.
* Public transit stipends are available for students that are unable to secure reliable transportation to and from the Institute.
The La Jolla Institute for Immunology (LJI) offers a collegial work environment that emphasizes collaboration, teamwork and creativity. Full-time employment at LJI includes a competitive salary, medical/dental/vision benefits, paid sick leave, and contributions to a retirement plan (403B). For the last decade, LJI has been ranked as one of the best places to work in San Diego by the San Diego Business Journal. The Institute hosts world-renowned faculty and over 80 postdoctoral researchers with scientists from over 30 countries. LJI is located in the Science Research Park on the campus of UC San Diego, providing easy access to the San Diego life sciences community and all that the area has to offer.
LJI provides Equal Employment Opportunity (EEO) to all employees and applicants for employment, and prohibits discrimination and harassment of any type, regardless of race, color, religion, age, sex, national origin, marital status, disability status, genetics, medical conditions, protected veteran status, sexual orientation, gender identity or expression, reproductive health decisions, or pregnancy, or any other condition protected by state and local laws. This applies to all terms and conditions of employment, including recruitment, hiring, placing, training, promotion, compensation, benefits, transfers, educational assistance, terminations, layoffs, recalls, transfers, leaves of absences, and social and recreational programs.
La Jolla Institute is committed to compensation that is externally competitive and internally equitable. We validate this commitment by conducting regular market analyses to remain competitive with organizations of similar size in the nonprofit, independent research sector. Compensation decisions consider a variety of factors including experience, education, unique skill sets, organizational need, and internal equity.

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