Johnson & Johnson Posted October 20, 2026

Summer intern, Digital Signal/ Imaging AI

Cambridge, United States Full time
Data & Digital Intern/Fellow/Postdoc
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Johnson & Johnson is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

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:

Beerse, Antwerp, Belgium, 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:

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, San Francisco, Titusville, Raritan, Spring House, Boston, 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:

Job details

Seniority
Intern/Fellow/Postdoc
Function
Data & Digital
Therapeutic area
Not listed
Location
Cambridge, United States
Employment type
Full time

How this role compares

Computed from every other active Data & Digital role in our database, not just this employer's listings.

We currently track 77 comparable Intern/Fellow/Postdoc Data & Digital roles across 25 biopharma companies.

77Comparable roles tracked
70Currently active
25Companies hiring similar roles
17Countries represented

Salary context

10 of 77 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject Not listed on this posting
Highest disclosed · Advisor - AI/ML Generative Foundation Models for Biotherapeutics · Lilly $168,000/yr – $268,400/yr
Peer group range $75,510 – $218,200 (median $95,500)

Where these roles are based

Top locations among the 77 comparable roles

United States28
France15
Germany8
India7
China4
Greece2

+ 11 more countries

Seniority mix

77 of 77 peers have a known seniority level

Intern/Fellow/Postdoc54
Associate23

Therapeutic area mix

1 of 77 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Immunology1

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The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

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How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

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Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.