Intern In Structure-based Foundation Modelling (6 Months)

Roche UK

Basel, Switzerland
Master's student in technical field
Strong machine learning foundation
Geometric and spatial representation learning
The role involves generating large-scale synthetic biomolecular structure datasets and developing state-of-the-art multi-modal foundation models

Job Summary

  • The role involves generating large-scale synthetic biomolecular structure datasets and developing state-of-the-art multi-modal foundation models.
  • Candidates will collaborate with international teams across Basel, New York, and San Francisco to drive high-level research initiatives.
  • The position is part of Roche's AIDD team, applying machine learning to discover and engineer biologic drugs like therapeutic antibodies.

Matching Summary

The role involves generating large-scale synthetic biomolecular structure datasets and developing state-of-the-art multi-modal foundation models.

Skills & Requirements

Must-have

  • Master's student in technical field
  • Strong machine learning foundation
  • Geometric and spatial representation learning
  • Hands-on PyTorch experience
  • Structural biology application knowledge

Nice-to-have

  • Excellent communication skills
  • International cross-functional collaboration
  • Motivation for scientific publication
  • Fast-paced environment adaptability

Key Requirements

  • Currently enrolled Master's student
  • Proficiency in English
  • Valid enrollment certificate required

Work Rights

Mandatory letter from university required for non-EU/EFTA applicants without residence permit

Tailored Resume

Cover Letter