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RORoche

Machine Learning Scientist(m/w/x)

Basel
Full-timeOn-siteJunior
AI/ML
Data Science

Structural biology modeling and deep learning software development for de novo antibody design at global healthcare firm. Proficiency in Python and MLOps frameworks like Hydra or Weights & Biases required. Lab-in-the-loop research environment with public computational portfolio preferred.

Requirements

  • M.S. or PhD in Computer Science, Statistics, Physics, or related technical field
  • 1+ years experience designing and training machine learning models
  • Proficiency in Python and PyTorch, TensorFlow, or JAX
  • Experience with MLOps frameworks like Hydra and Weights & Biases
  • Public portfolio of computational projects
  • Experience with geometric deep learning or sequence models
  • Experience or familiarity with antibody sequence and structure data (plus)
  • Excellent communication and English fluency
  • Passion for driving projects in cross-functional environments

Tasks

  • Develop machine learning methods for modeling biological data
  • Focus on structural biology applications
  • Deliver deep learning software for drug discovery
  • Support de novo antibody design efforts
  • Enable lab-in-the-loop research processes
  • Collaborate with global AI and ML scientists
  • Partner with biologists and technologists
  • Design methods for de novo protein therapeutics
  • Write structured, tested, and maintainable code
  • Participate in proactive code reviews
  • Contribute to a collaborative team culture
  • Implement research ideas into production environments

Work Experience

1 year

Education

Master's degree

Languages

EnglishBusiness Fluent

Tools & Technologies

PythonPyTorchTensorFlowJAXHydraWeights & BiasesGitHub

Benefits

Informal Culture

  • Personal expression culture
  • Open dialogue
  • Genuine connections
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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