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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 Med Tech, 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, Titusville, New Jersey, United States of America, Zug, Switzerland
Job Description:
About Us:
Johnson & Johnson Innovation Medicine focuses on discovering and developing innovative solutions to address critical unmet medical needs across multiple therapeutic areas.
We are seeking a highly motivated and innovative Data Science Intern to support our research and development initiatives focusing on multimodality. This internship offers a unique opportunity to work with our AI/ML team on building a multimodal framework based on high dimension biology data, thereby driving the development of an innovative application. By effectively designing this framework, we aim to enhance our understanding of the materials utilized in our projects, strengthening decision-making processes and advancing drug discovery efforts.
Key Responsibilities:
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Collaborate with the AI/ML team to develop and implement multimodal learning frameworks.
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Analyze and aggregate different modalities through biological insights and maximize benefits from multimodal learning.
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Present analytical findings to cross-functional teams, contextualizing results within broader project goals.
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Draft technical papers for high impact conferences and/or journals
Qualifications:
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Currently pursuing or recently completed a Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics, or a related field.
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Extensive hands-on experience in AI/ML research and applications including Computer Vision, NLP, Geometry learning, or related fields.
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Experience in medical imaging and/or transcriptomics is a plus.
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Strong publication record (CVPR, ICCV, ICLR, NeurIPS, ICML etc.)
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Proficiency in Python, and experience with AI frameworks like Py Torch or Tensor Flow.
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Strong communication skills to effectively communicate and collaborate in a cross-functional setting
Equal Opportunity Statement:
Johnson & Johnson is an Affirmative Action and 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, or protected veteran status. We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process.
Required Skills:
Preferred Skills:
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About Johnson & Johnson

Johnson & Johnson
PublicCaring for the world, one person at a time.
10000+
Employees
New Brunswick
Headquarters
Reviews
3.6
5 reviews
Work Life Balance
3.8
Compensation
2.5
Culture
3.0
Career
3.2
Management
2.8
45%
Recommend to a Friend
Pros
Good work-life balance
Strong R&D division
University talent engagement
Cons
Contract employee job security issues
Pay cuts during transitions
Product liability concerns
Salary Ranges
2,248 data points
Mid/L4
Senior/L5
Director
Mid/L4 · Manager
338 reports
$155,591
total / year
Base
$137,488
Stock
-
Bonus
$18,103
$106,549
$229,934
Interview Experience
7 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Technical/Hiring Manager Interview
5
Panel Interview
6
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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