PhD Research Summer Intern AI/ML & Digital Health in London

PhD Research Summer Intern AI/ML & Digital Health in London

London Internship 20000 - 30000 £ / year (est.) No working from home possible
J&J Family of Companies

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.

J&J Family of Companies

Contact Details:

J&J Family of Companies Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land PhD Research Summer Intern AI/ML & Digital Health in London

Join Data-Science Meetups

Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.

Utilise University Career Services

Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.

Show Off Your Stuff on GitHub

If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.

Apply Directly on Our Website

Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.

We think you need these skills to ace PhD Research Summer Intern AI/ML & Digital Health in London

Machine Learning
Artificial Intelligence
Deep Learning
Python
PyTorch
TensorFlow
Self-Supervised Learning

Some tips for your application 🫡

Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!

Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at J&J Family of Companies will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!

Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!

Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!

How to prepare for a job interview at J&J Family of Companies

Brush Up on Your Coding Skills

As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.

Show Off Your Projects

Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress J&J Family of Companies.

Know Your Stats and ML Basics

Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.

Be Eager to Learn and Adapt

Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show J&J Family of Companies that you’re not just looking for experience, but that you're keen to contribute and grow within the team.