Intern In Structure-based Foundation Modelling (6 Months)

Roche

Basel, Switzerland
On-site
Machine learning
Geometric and spatial representation learning
Pytorch deep learning framework
Roche is seeking a Master's student for a 6-month internship in structure-based foundation modeling, focusing on machine learning applications in drug discovery. The role involves generating biomolecular datasets, developing foundation models, and collaborating with international teams to advance therapeutic research

Job Summary

  • AIDD (AI for Drug Discovery) is an interdisciplinary team applying machine learning to discover and engineer biologic drugs.
  • The opportunity includes generating large-scale synthetic biomolecular structure datasets and developing state-of-the-art multi-modal foundation models.
  • The role requires collaboration with international, cross-functional teams across global sites in Basel, New York, and San Francisco.

Matching Summary

Match Score: 85

Roche is seeking a Master's student for a 6-month internship in structure-based foundation modeling, focusing on machine learning applications in drug discovery. The role involves generating biomolecular datasets, developing foundation models, and collaborating with international teams to advance therapeutic research.

Skills & Requirements

Must-have

  • Machine learning
  • Geometric and spatial representation learning
  • PyTorch deep learning framework
  • Structural biology ML applications
  • Generate synthetic biomolecular structure datasets

Nice-to-have

  • Open dialogue and genuine connections
  • High-level research initiatives
  • Fast-paced environment

Key Requirements

  • Currently enrolled Master's student
  • Technical field (Bioinformatics, Computer Science, Physics, etc.)
  • Proficiency in English

Work Rights

Not specified

Tailored Resume

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