Johnson & Johnson

AI Research Intern, Virtual Cell Model

Johnson & Johnson

internship

Posted on:

Location Type: Remote

Location: Massachusetts • United States

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Salary

💰 $23 - $52 per hour

Job Level

Entry Level

About the role

  • Join our Data Science R&D team and work closely with senior AI scientists
  • Develop next generation AI/ML models for building virtual cells
  • Design and implement innovative multimodal foundation model architectures for omics and imaging
  • Enable advanced biological representation learning and “virtual cell” modeling for In silico biological simulation
  • Contribute to novel methods and publications

Requirements

  • PhD student in AI/ML, Computer Science, Electrical Engineering, Computational Biology, or related field
  • Strong research background in deep learning, demonstrated by publications in top-tier AI venues (e.g., ICML, ICLR, CVPR, NeurIPS)
  • Experience or strong interest in multimodal learning and multi omics data analysis preferred
  • Expertise in deep learning, particularly multimodal models, foundation models, LLMs, and geometric deep learning
  • Familiarity with single cell, perturbation, and omics is a strong plus
  • Strong analytical thinking and research execution skills
  • Ability to work effectively in fast-paced, research intensive environment
  • Excellent communication and collaboration abilities
  • Permanently authorized to work in the U.S., must not require sponsorship of an employment visa
Benefits
  • Medical benefits
  • Sick time benefits: up to 40 hours per calendar year, up to 56 hours for employees in Washington
  • Participation in Company’s consolidated retirement plan
Applicant Tracking System Keywords

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

Hard Skills & Tools
AIMLdeep learningmultimodal modelsfoundation modelsLLMsgeometric deep learningmultimodal learningmulti omics data analysisbiological representation learning
Soft Skills
analytical thinkingresearch executioncommunicationcollaborationability to work in fast-paced environment
Certifications
PhD