How do I apply for the Data science intern position at Johnson & Johnson and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Data science intern role?

This position is a full-time, structured as a hybrid role, with an expected duration of 3 months.

What educational background or degree level is required for the Data science intern at Johnson & Johnson?

Candidates are generally expected to be holding or pursuing the following degree levels: PhD.

Does Johnson & Johnson provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Data science intern

Johnson & Johnson

Found 2 months ago

Location

Zug, Switzerland

Duration (Months)

3 Months

Time

Full-time

Work Mode

Hybrid

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

2 months ago

Education

Skills & Qualifications

Technical Skills

AI/ML
Computer Vision
NLP
Geometry learning
Python
PyTorch
TensorFlow

Soft Skills

Highly motivated
innovative
Strong communication skills
collaborate

Job Description

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.

Requirements

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 PyTorch or TensorFlow.
Strong communication skills to effectively communicate and collaborate in a cross-functional setting

AI & Machine Learning

AI Research

Languages

English

Nice to Haves

Experience in medical imaging and/or transcriptomics
Strong publication record (CVPR, ICCV, ICLR, NeurIPS, ICML etc.)

Apply Now

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