Data Science - Multi-Omics intern

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Spring House, Pennsylvania, United States of America

Job Description:

About Innovative Medicine

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 

About MedTech

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

We are searching for the best talent for Data Science - Multi-Omics intern  to be in PA Spring House.

• The Intern / Co-op term is from June to August, 2026.
• Full time requirement (40 hours per week).

Purpose:

We are seeking a highly motivated and innovative Data Science Intern to support our research and development initiatives focusing on CAR-T Therapy. This internship offers a unique opportunity to work with our AI/ML team on developing develop a multimodal, patient-level scorecard that summarizes immune and CAR-T product characteristics by integrating data from CITE-seq, drug product analytics, as well as flow cytometry and bulk profiling approaches. By effectively designing this framework, we aim to strengthen our decision-making processes

Key Responsibilities:

• Collaborate with the AI/ML team to develop and implement multimodal learning frameworks.
• Analyze and aggregate different modalities through biological insights and maximize benefits from multimodal learning.
• Present analytical findings to cross-functional teams, contextualizing results within broader project goals.
• Draft technical papers for high impact conferences and/or journals

Qualifications / Requirements:

• Completion of Undergraduate Freshman year at an accredited University is required.
• Currently pursuing or recently completed a Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics, bioinformatics and computational biology or a related field.
• Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
• Extensive hands-on experience in AI/ML research and applications and or experience with CITE-seq and scRNA-seq assay analysis.
• Experience in medical transcriptomics is a plus.
• Strong publication record
• Proficiency in Python, and experience with AI frameworks like PyTorch or TensorFlow.
• Python programming, numpy, pandas, scipy, scverse
• Strong communication skills to effectively communicate and collaborate in a cross-functional setting

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.

The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).

For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits. This job posting is anticipated to close on [03/12/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.

Ineligibility for severance.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

Remote work options may be considered on a case-by-case basis and if approved by the Company.

#LI-Hybrid

 

 

Required Skills:

 

 

Preferred Skills: