Data Science - Multi-Omics intern

Johnson & Johnson•Spring House, PA

19h•$23 - $52

About The Position

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. 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 Intern, PAI 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 in-silico perturbation models. This internship offers a unique opportunity to work with our AI/ML team on validation of network models to assess in-silico perturbation methods and results. With this, we aim to improve our drug discovery processes.

Requirements

Completion of Undergraduate Freshman year at an accredited University is required.
Currently pursuing or recently completed a Ph.D. in computational biology, genetics, 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/or computational biology
Experience in network modeling
Proficiency in Python and R
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.

Responsibilities

Collaborate with the PAI team and DPDS to validate in-silico models for perturbations.
Analyze and aggregate results from multiple in-silico experiments.
Present analytical findings to cross-functional teams, contextualizing results within broader project goals.
Draft technical papers for high impact conferences and/or journals

Benefits

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).

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