Johnson & Johnson

Data Science Intern

Johnson & Johnson

internship

Posted on:

Location Type: Hybrid

Location: Zug • Switzerland

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Job Level

Entry Level

Tech Stack

PythonPyTorchTensorflow

About the role

  • 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.

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.
Benefits
  • Health insurance
  • Flexible working hours
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI/ML researchComputer VisionNLPGeometry learningmedical imagingtranscriptomicsPythonPyTorchTensorFlowpublication record
Soft Skills
communication skillscollaboration
Certifications
Ph.D.