• 
  Join a team paving the way for the development and application of foundation models in

• Drive the application of foundation models to relevant biomedical data, including but not

• Design evaluation protocols and leaderboards to guide continual model improvement

• Conduct methodological research in key areas to unlock novel applications. This

• 
  MSc or Ph D in computational biology or a related field (bioinformatics, statistics,

• Demonstrated expertise applying machine learning to computational biology, including

• Extensive experience working with at least one of genomics, proteomics, single-cell or

• Deep knowledge of best practices in the field, including how to account for noise,

• Excellent written and oral communication skills.

• Good command of coding in python, and willingness to learn about programming best

• Familiarity with state-of-the-art machine learning architectures, with an interest in

• Hands-on experience implementing custom models with a deep learning framework

• 
  You should be able to attend retreats and events in the Paris office (around once a

• Remote applicants are expected to have at least a 5-hour overlap with the team in Paris,

• Since we also value in-person work and collaboration, all things being otherwise equal,