Data Science 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:

Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, 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

• The Data Science Intern term is from May to August, 2026.
• Full time requirement (40 hours per week).

Purpose

We are seeking a highly motivated and innovative Data Science Intern to support research and development initiatives focused on foundation models for biologics manufacturing. This internship offers a unique opportunity to work closely with our AI/ML and DPDS teams to develop novel modeling approaches, evaluate benchmarks, and translate advanced analytics into real world impact.

By contributing to next generation AI/ML methodologies, this role will help improve drug manufacturing robustness, process understanding, and supply chain decision making.

You will be responsible

• Collaborate with AI/ML scientists and domain experts to develop and evaluate foundation models for biologics manufacturing data.
• Translate manufacturing and supply chain use cases into modeling objectives, benchmarks, and evaluation strategies.
• Analyze large scale, high dimensional process and analytical datasets to uncover patterns and insights.
• Present analytical findings and model outcomes to cross functional stakeholders, clearly connecting results to project goals.
• Contribute to technical reports, white papers, and publications targeting high impact conferences and/or journals.

Requirements

• Completion of Undergraduate Freshman year at an accredited University is required.
• Currently pursuing a Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Chemical Engineering, or a related field.
• Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
• Strong hands on experience in AI/ML research, including representation learning, deep learning, or foundation models.
• Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, JAX, scikit learn).
• Familiarity with large scale, noisy, or time series data; experience with manufacturing, biological, or multimodal data is a plus.
• Strong written and verbal communication skills, with the ability to collaborate effectively in cross functional research teams

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 [03/25/2026]. The Company may however extend t