Summer intern, Digital Signal/ Imaging AI

Posted Yesterday
Be an Early Applicant
5 Locations
In-Office
Internship
Healthtech • Biotech • Pharmaceutical • Manufacturing
The Role
Conducts AI and data science research in healthcare, analyzing wearable sensor, neuroimaging, physiological, behavioral, and clinical data. Develops and validates machine learning models for digital biomarkers, health endpoints, disease progression, severity prediction, and disease subtype discovery. Requires advanced Python or R, predictive modeling, statistical analysis, large-dataset expertise, and current PhD study in a quantitative discipline.
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:

Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Leiden, Netherlands, Titusville, New Jersey, United States of America, Zug, Switzerland

Job Description:

Summer intern, Digital Signal/ Imaging AI

 

Position Components


In this role, you will work with colleagues in the J&J Innovative Medicine R&D Data, Data Science, and AI (DDSAI) organization and partner with key businesses across J&J Innovative Medicine to apply advanced data science and analytics to answer key research questions.  As an intern, you will get the opportunity to work on cutting-edge problems at the intersection of AI and healthcare. You will be a member of a dynamic team comprising data scientists and subject matter experts to create and iterate on data science solutions. Projects include, but are not limited to, processing and analysis of wearable sensor and neuroimaging data, development of machine learning models for digital biomarker discovery, validation of digital health endpoints, generation of insights from real-world physiological and behavioral data, modeling and prediction of disease severity and progression, and discovering of disease subtypes. Interns could be located out of our US locations in San Diego CA, San Francisco CA, Titusville NJ, Raritan NJ, Spring House PA, Cambridge MA, or out of Europe locations in Beerse (Belgium), Leiden (The Netherlands), Zug (Switzerland) as well as remote.

Minimum qualifications:

  • Currently pursuing a PhD degree in Biomedical Engineering, Electrical Engineering, Neuroscience, Applied Mathematics, Statistics, Data Science, or a related quantitative discipline.
  • Strong working knowledge of AI and machine learning.
  • Advanced in Python or R
  • Strong skills in predictive modeling, statistics, and analysis of large datasets.
  • Strong technical communication and presentation skills.
  • Basic knowledge of data cleaning and data quality

 

Preferred qualifications:

Experience in one or more of the following:

  • Experience with processing and analyzing sensor, wearable device, clinical records, and/or medical imaging data.
  • Proficiency with pytorch.
  • Experience with semi-supervised and/or self-supervised learning.
  • Experience with Foundation Models

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.


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,  external applicants please contact us via https://www.jnj.com/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource.



Required Skills:



Preferred Skills:

Skills Required

  • Currently pursuing a PhD in Biomedical Engineering, Electrical Engineering, Neuroscience, Applied Mathematics, Statistics, Data Science, or a related quantitative discipline.
  • Strong working knowledge of artificial intelligence and machine learning.
  • Advanced proficiency in Python or R.
  • Strong skills in predictive modeling, statistics, and analysis of large datasets.
  • Strong technical communication and presentation skills.
  • Basic knowledge of data cleaning and data quality.
  • Experience processing and analyzing sensor, wearable device, clinical records, or medical imaging data.
  • Proficiency with PyTorch.
  • Experience with semi-supervised or self-supervised learning.
  • Experience with foundation models.
  • Permanent authorization to work in the United States without requiring employment visa sponsorship.

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.

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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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