Research Intern AI/ML & DH

Johnson & Johnson Innovative Medicine•Cambridge, MA

1d•$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. 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:

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.
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.

Nice To Haves

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

Responsibilities

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.

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).
For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits
Ineligibility for severance.

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