Summer Internship: Machine Learning/deep Learning, Global Digital Health Intern (hybrid - San Carlos, Ca)

BeOne Medicines

San Carlos, CA, US
Masters: $30ph usd; phd: $35ph usd; benefits: medi...
Hybrid (remote/san carlos, ca)
Machine learning/deep learning modeling
Python programming skills
Ml/dl frameworks (pytorch, tensorflow, jax)
BeOne Medicines is seeking a summer intern specializing in Machine Learning/Deep Learning for its Global Digital Health team in San Carlos, CA. The internship is remote-first with occasional in-office work and focuses on applying AI techniques to advance research in Hematology and Oncology

Job Summary

  • This is a high-ownership internship for a candidate who wants to do meaningful technical work at the intersection of AI and disease-area strategy.
  • The intern will work directly with our Global Digital Health leadership and scientific leaders and partner with cross-functional stakeholders to frame important scientific or clinical questions.
  • This is a greenfield opportunity to help shape how advanced AI methods can support decision-making in a clinically important area.

Matching Summary

Match Score: 85

BeOne Medicines is seeking a summer intern specializing in Machine Learning/Deep Learning for its Global Digital Health team in San Carlos, CA. The internship is remote-first with occasional in-office work and focuses on applying AI techniques to advance research in Hematology and Oncology.

Salary

Masters: $30/hour USD; PhD: $35/hour USD; Benefits: Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness

Skills & Requirements

Must-have

  • Machine Learning/Deep Learning modeling
  • Python programming skills
  • ML/DL frameworks (PyTorch, TensorFlow, JAX)
  • Biomedical data analysis
  • Translate scientific questions to modeling problems

Nice-to-have

  • Publication experience top-tier venues
  • Research experience generative AI
  • Work with life sciences datasets
  • Interest in oncology/translational medicine

Key Requirements

  • MS/PhD program enrollment
  • Computer Science, Statistics, Biomedical Informatics, Computational Biology, or related quantitative field
  • Strong foundation ML/DL
  • Hands-on ML/DL framework experience
  • Experience designing, training, evaluating models
  • Legally authorized to work in the United States

Work Rights

Legally authorized to work in the United States

Tailored Resume

Cover Letter