Machine Learning for Precision Oncology

Type de poste
Niveau d'étude minimal
Durée du poste
Contrat renouvelable
Contrat non renouvelable
Date de prise de fonction
Date de fin de validité de l'annonce
Nom de la structure d'accueil

27 Bd Lei Roure
13009 Marseille

Pedro Ballester
Email du/des contacts

This project will address the question of how to leverage clinical data to improve our ability to predict which cancer patients will respond to a drug treatment. The CONSORE project within IPC has completed the structuration of electronic health records from clinical practice. As a result, we now count with a large volume of structured data from the IPC (currently 258,168 patient records). The successful candidate will investigate and implement predictive models exploiting these data resources. This includes the application of suitable machine learning techniques to reduce the dimensionality of data in building these in silico models. Other project components are mining public and in-house clinical data as well as research on optimal ways to use model predictions to support clinical decision-making and assess uncertainty.

Full description of this position, including how to apply, is available at

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