Immunology Computational Intern
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine
We are looking for the best talent in Immunology.
Immunology Internship Program Overview:
The Johnson & Johnson Immunology Internship Program offers a dynamic and immersive learning experience within one of the world's premier healthcare companies. This full-time internship provides hands-on exposure to various functions within Immunology Therapeutic Area Research and Development, fostering both professional growth and practical skills. This full-time internship offers a unique opportunity to contribute to cutting-edge immunology research while gaining valuable industry insights.
Designed to cultivate the next generation of talent, this program aims to identify and develop future leaders. The internship spans approximately three months, running from May 18 to September 18, 2026, with flexible start and end dates to align with semester and quarter systems.
Job Description:
As a computational summer intern in the Immunology Discovery or TSM (Translational Science and Medicine) function, you will be a member of a team dedicated to the research and development of new therapeutics. Students selecting computational biology role will develop novel computational method(s) and/or analyze human cellular and molecular omics datasets to answer program specific questions as well as identify new/novel pathways.
The selected candidates will be assigned a mentor and will get an opportunity to work with Immunology teams. Each intern will have their own project developed jointly with their mentor and will be expected to present the results of their work to their project teams, the Immunology Senior Leadership Team (SLT), and as a poster/abstract at the research symposium at the end of the internship. The goal of this internship program is to provide undergraduate and graduate students experience in working in a large pharmaceutical R&D setting and to gain a basic understanding of the science and process of novel drug development.
The intern will have the opportunity to learn new aspects of disease biology and ways to identify novel therapeutics / drug targets / determine the mechanism of action behind emerging drugs and/or explore biomarkers of response and resistance. Students will receive training on experimental planning and execution, as well as receiving guidance on how to troubleshoot experiments relative to their summer project. This role involves extensive global team matrix interactions with colleagues from a number of different disciplines.
You will be responsible for:
- Data analysis, visualization and recording keeping
- Support experimental design
- Participating in department, team, and cross-functional meetings
- Shadowing key functional roles for learning/development opportunities
- Assisting with interpretation, reporting, and preparation of oral and written results of product research, in concert with senior clinical personnel
- Review of literature, computational algorithm, and related new technologies
- Leadership opportunities on specific programs and or group projects
- Abstract/ poster preparation and presentation at organization-wide research symposium
- Other projects as assigned
Qualifications
- Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
- Must be currently enrolled in an accredited University or College program throughout the duration of the internship.
- Must not be graduating before, during, or after the start or end of the internship program
- Undergraduate students with a minimum of six semesters, or equivalent quarters, at program start or graduate students are eligible
- Graduate students must be pursuing a master’s, PharmD, Physician Assistant or PhD or other clinical related degrees
- Minimum cumulative GPA of 3.0 which is reflective of all college coursework
- Students in good standing, working towards the completion of an undergraduate or graduate degrees
- Currently enrolled in computational biology, bioinformatics, computer science, biology, cell/molecular biology, chemistry, pre-med, biochemistry, biomedical engineering, clinical pharmacology, clinical or translational research, precision medicine, or similar areas of study
- Availability to work full time (40 h/w) for the entire co-op or internship. We work on a “hybrid model” if you are NOT lab based. This means that you will be asked to report on site three times a week and can work remotely twice a week.
- Proven leadership/participation with campus programs and/or service programs is desired
- Detailed oriented with good organizational skills
- Possess strong leadership skills to participate and contribute to internship program initiatives and events
- Great interpersonal, verbal and written communication skills and presentation skills
- Ability to lead peers, project teams and present to project and senior leadership teams
- Enthusiastic, collaborative, able to build relationships and work within global matrixed and cross-functional teams
- Ability to work on and balance multiple project deliverables
- Working knowledge and/or experience using Slack, Microsoft suite of business applications/tools including but not limited to Excel, OneNote, Outlook, PowerPoint, Sharepoint, Teams, and Word, etc.
- Proficiency in languages such as Python, R, C++, or Java.
- Ability to develop, optimize, and troubleshoot algorithms and models.
- Fluent in written and spoken English
