Research Intern AI/ML & DH

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

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

We are searching for the best talent for Research Intern AI/ML & DH to be in Cambridge, Massachusetts.

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

Purpose:

Data Science and Digital Health (DSDH) function within Johnson & Johnson Innovative Medicine Research & Development is seeking a PhD‑level Research Intern to support the development of foundation models for multimodal wearable sensor data, including accelerometer, PPG, ECG, and other physiological signals. The intern will work on self‑supervised and multimodal representation learning to build scalable models that generalize across digital health applications such as human activity recognition, sleep staging, cardiovascular monitoring, gait analysis, and digital biomarker discovery.

You will be responsible

The AI/ML and Digital health team within Johnson & Johnson Innovative Medicine Research & Development is a part of Data Science & Digital Health (DSDH) function and develops innovative AI/ML and analytical solutions using a variety of data sources across multiple diseases and therapeutic areas. We are looking for outstanding candidate for the Research Intern AI/ML & DH whose responsibilities include:

• Design and implement self‑supervised learning frameworks for wearable time‑series data.
• Train foundation models on large‑scale unlabelled multimodal sensor datasets.
• Develop architectures using transformers, contrastive learning, masked modelling, and cross‑modal attention.
• Integrate heterogeneous sensors (accelerometer, PPG, ECG, heart‑rate) using multimodal fusion strategies.
• Evaluate learned representations on downstream health tasks (HAR, sleep, stress, gait, health outcomes).
• Contribute to reproducible research outputs, including publications and well‑documented code.

Qualifications / Requirements:

• Completion of Undergraduate Freshman year at an accredited University is required.
• Currently pursuing a PhD in Machine Learning, AI, Computer Science, Biomedical Engineering, Signal Processing, or related fields.
• Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
• Strong programming experience with Python and deep learning frameworks (PyTorch or TensorFlow).
• Strong technical background in deep learning for time‑series data and self‑supervised learning.
• Experience working with large‑scale datasets and research pipelines.

Preferred Qualifications

• Experience with wearable sensor data and multimodal machine learning.
• Familiarity with transformers, contrastive learning, and masked modelling.
• Background in physiological signal processing and digital health applications.
• Exposure to time‑series foundation models or large‑scale model training

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 [03/29/2026]. 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.

#LI-Hybrid

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

$23.00/hr to $51.50/hr

Additional Description for Pay Transparency:

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 [9/25/2026]. 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.