AI/ML/Data Science Intern

Posted Yesterday
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9 Locations
In-Office
Internship
Healthtech • Biotech • Pharmaceutical • Manufacturing
The Role
Summer intern supporting computer vision and multimodal AI research for medical imaging and video. Responsibilities include interviewing clinical stakeholders, identifying business value, developing and evaluating computer vision models, extracting insights from reports, and communicating technical findings. Work covers modalities including endoscopy, ultrasound, X-rays, dermatology images, retinal OCT, and histopathology.
Summary Generated by Built In

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:

Barcelona, Spain, Boston, Massachusetts, United States of America, High Wycombe, Buckinghamshire, United Kingdom, Leiden, Netherlands, Madrid, Spain, New Brunswick, New Jersey, United States of America, New York, New York, United States, Spring House, Pennsylvania, United States of America, Zug, Switzerland

Job Description:


Job Description:


We are seeking highly skilled and motivated candidates to join our Computer Vision team at Johnson & Johnson. As a summer intern, you will have the unique opportunity to contribute to the development and implementation of state-of-the-art AI/ML methods for medical image and video understanding. Specifically, your role will focus on utilizing advanced AI techniques to extract valuable insights from a wide range of medical imaging modalities such as endoscopy and ultrasound videos, X-rays, dermatology/skin images, retinal OCT scans, and histopathology slides as well as building foundation and multimodal models that generalize across these data types. By leveraging these cutting-edge technologies, you will enhance our understanding of medical conditions, procedures, and interventions, and ultimately help improve clinical trial efficacy and efficiency.


Key Responsibilities:


  • Conceive, develop, and implement interviews with key internal clinical personnel to understand needs and use cases around AI tools for medical imaging and video;
  • Participate in cross-functional interviews, drive discussion and follow-up questions to interviewees, and compile answers into briefing reports;
  • Extract insights from a collection of briefing reports focusing on the business value of AI pipelines across therapeutic areas;
  • Design, develop, and evaluate computer vision and multimodal models on medical imaging and video data;
  • Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

Qualifications:


Required Qualifications:

  • Ongoing Master's/PhD degree in a quantitative discipline (e.g., physics, mathematics, computer science, electrical engineering, or similar);
  • Demonstrated experience driving research in and applying computer vision techniques (e.g., Transformers, CNNs, RNNs, GANs);
  • Demonstrated experience with state-of-the-art techniques for image and/or video understanding (e.g., foundation models, transformers);
  • Proficiency with one or more programming languages such as Python or C++;
  • Extensive experience with traditional computer vision applications, such as OpenCV, object detection, edge detection, and image segmentation;
  • Experience with machine learning algorithms, including random forest, SVM, boosting, neural networks, etc.;
  • Strong publication record and ability to effectively communicate technical work to a wide audience;

Preferred Qualifications:

  • Experience with medical imaging or video modalities, such as endoscopy, ultrasound, X-ray, dermatology/skin imaging, retinal OCT, or histopathology;
  • Experience with foundation models and/or multimodal AI;
  • Familiarity with and exposure to drug discovery and clinical development processes;

Experience working closely with healthcare professionals
Target Start Date:-
1st March 2027
Duration of the internship:-
6 months



Required Skills:



Preferred Skills:

Skills Required

  • Ongoing Master's or PhD degree in a quantitative discipline such as physics, mathematics, computer science, or electrical engineering
  • Experience conducting research and applying computer vision techniques, including Transformers, CNNs, RNNs, or GANs
  • Experience with state-of-the-art image or video understanding techniques, including foundation models or Transformers
  • Proficiency in one or more programming languages, such as Python or C++
  • Extensive experience with traditional computer vision applications, including OpenCV, object detection, edge detection, and image segmentation
  • Experience with machine learning algorithms, including random forests, SVMs, boosting, and neural networks
  • Strong publication record and ability to communicate technical work effectively to broad audiences
  • Experience with medical imaging or video modalities such as endoscopy, ultrasound, X-ray, dermatology imaging, retinal OCT, or histopathology
  • Experience with foundation models or multimodal AI
  • Familiarity with drug discovery and clinical development processes
  • Experience working closely with healthcare professionals

Johnson & Johnson Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.

  • Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
  • Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
  • Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.

Johnson & Johnson Insights

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The Company
HQ: New Brunswick, NJ
143,612 Employees
Year Founded: 1886

What We Do

Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines

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