Immunology Computational Intern — Hybrid (May–Aug 2027)

Johnson & Johnson Innovative Medicine; Spring House (PA); Hybrid; USD 30,000 - 39,000; Full time

Benefits offered by this job

Structured learning

Mentorship

Exposure to drug development

Job summary

Johnson & Johnson Immunology Internship Program seeks candidates for a full-time, immersive internship in Immunology Computational Science. Interns work on a defined project, applying bioinformatics and quantitative methods to immunology research questions, under mentorship.

The program spans about three months (May 2026–Aug 2027) in Spring House, PA, with a hybrid on-site/remote schedule. You will gain hands-on experience in drug development and present at a symposium.

Qualifications

• Permanently authorized to work in the U.S. for the internship.
• Must be enrolled in a university/college program during the internship.
• Available full-time for the full duration (approx. three months).
• Hybrid work model: on-site three days a week, remote two days.

Responsibilities

• Design and execute computational analyses for an immunology project.
• Analyze and visualize complex biological datasets.
• Develop and benchmark reproducible workflows and models.
• Interpret results to suggest pathways, targets, or biomarkers.
• Collaborate with cross-functional teams to inform study design.
• Perform literature reviews to identify datasets and methods.
• Maintain documentation of data sources, code, and decisions.

Skills

Python

R

C++

Java

AI

Education

Undergrad/Grad student in computational biology or bioinformatics

Tools

Slack

Excel

PowerPoint

SharePoint

Teams

Job description

Johnson & Johnson Immunology Internship Program seeks candidates for a full-time, immersive internship in Immunology Computational Science. Interns work on a defined project, applying bioinformatics and quantitative methods to immunology research questions, under mentorship.

The program spans about three months (May 2026–Aug 2027) in Spring House, PA, with a hybrid on-site/remote schedule. You will gain hands-on experience in drug development and present at a symposium.