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Data science intern

Johnson & Johnson

Data science intern

Johnson & Johnson

3 Locations

·

On-site

·

Internship

·

1w ago

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:

  • Collaborate with the AI/ML team to develop and implement multimodal learning frameworks.

  • Analyze and aggregate different modalities through biological insights and maximize benefits from multimodal learning.

  • Present analytical findings to cross-functional teams, contextualizing results within broader project goals.

  • Draft technical papers for high impact conferences and/or journals

Qualifications:

  • Currently pursuing or recently completed a Ph.D. in Electrical Engineering, Computer Science, Statistics, Applied Mathematics, or a related field.

  • Extensive hands-on experience in AI/ML research and applications including Computer Vision, NLP, Geometry learning, or related fields.

  • Experience in medical imaging and/or transcriptomics is a plus.

  • Strong publication record (CVPR, ICCV, ICLR, NeurIPS, ICML etc.)

  • Proficiency in Python, and experience with AI frameworks like Py Torch or Tensor Flow.

  • 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

Caring 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