At a Glance
- Tasks: Design and implement AI/ML frameworks for wearable sensor data in digital health.
- Company: Join Johnson & Johnson, a leader in healthcare innovation and technology.
- Benefits: Gain hands-on experience, mentorship, and the chance to impact global health.
- Other info: Collaborative environment with opportunities for research publications.
- Why this job: Work on groundbreaking projects that improve health outcomes worldwide.
- Qualifications: PhD candidate in relevant fields with strong programming skills.
The predicted salary is between 20000 - 30000 € per year.
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.
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 Description:
The 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.
The AI/ML and Digital health team within Johnson & Johnson Innovative Medicine Research & Development develops innovative AI/ML and analytical solutions using a variety of data sources across multiple diseases and therapeutic areas.
Key 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.
Required Qualifications:
- PhD candidate in Machine Learning, AI, Computer Science, Biomedical Engineering, Signal Processing, or other related quantitative fields.
- 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.
PhD Research Summer Intern AI/ML & Digital Health in London employer: J&J Family of Companies
At Johnson & Johnson, we pride ourselves on being an exceptional employer, fostering a culture of inclusivity and respect for diversity. Our London location offers a dynamic work environment where innovative minds collaborate to develop groundbreaking healthcare solutions, providing interns with invaluable hands-on experience and opportunities for professional growth in the rapidly evolving fields of AI/ML and digital health.
Contact Detail:
J&J Family of Companies Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land PhD Research Summer Intern AI/ML & Digital Health in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Johnson & Johnson on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by diving deep into their projects. Familiarise yourself with their work in AI/ML and digital health. We want to show that we’re genuinely interested and ready to contribute!
✨Tip Number 3
Practice common interview questions, especially those related to your technical skills. We should be ready to discuss our experience with Python and deep learning frameworks like PyTorch or TensorFlow.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, it shows we’re serious about joining the team at Johnson & Johnson.
We think you need these skills to ace PhD Research Summer Intern AI/ML & Digital Health in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience in AI/ML, especially any projects related to wearable sensor data or deep learning frameworks. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about digital health and how your research aligns with our mission at Johnson & Johnson. Let us know what excites you about this opportunity!
Showcase Relevant Projects:If you've worked on any relevant projects, make sure to include them! Whether it's a research paper or a personal project, we love seeing practical applications of your skills. It helps us understand your hands-on experience.
Apply Through Our Website:Don't forget to apply through our website! It's the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining our team at Johnson & Johnson. We can't wait to see your application!
How to prepare for a job interview at J&J Family of Companies
✨Know Your Stuff
Make sure you brush up on the latest trends in AI/ML and digital health. Familiarise yourself with self-supervised learning frameworks and multimodal sensor data. Being able to discuss these topics confidently will show your passion and expertise.
✨Showcase Your Projects
Prepare to talk about any relevant projects or research you've done, especially those involving Python, deep learning frameworks like PyTorch or TensorFlow, and large-scale datasets. Bring examples of your work that demonstrate your skills and how they relate to the role.
✨Ask Smart Questions
Think of insightful questions to ask your interviewers about their current projects or challenges in the AI/ML space. This not only shows your interest but also helps you gauge if the company is the right fit for you.
✨Be Yourself
Johnson & Johnson values diversity and individuality, so don’t be afraid to let your personality shine through. Share your unique perspective on healthcare innovation and how you can contribute to their mission of improving health for humanity.
