DESCRIPTION :
The EPIONE project team contributes to the development of the digital patient (e-patient) for digital medicine (e-medicine).
The e-patient (or digital patient) is a set of computer models of the human body capable of describing and simulating the anatomy and physiology of organs and tissues, at different scales, for an individual or a population. It's a framework for integrating and analyzing heterogeneous information measured on the patient from disparate sources: imaging, biology, clinical, sensors, etc.
The e-medicine (or digital medicine) is defined as IT tools applied to the digital patient to assist physicians and surgeons in their medical practice, to evaluate diagnosis/prognosis and to plan, monitor and evaluate therapy.
The models that govern the algorithms designed for e-patients and e-medicine come from a variety of disciplines: computer science, mathematics, medicine, statistics, physics, biology, and so on. The parameters of these models must be adjusted to an individual or a population according to the available images, signals and data.
The Service d'Expérimentation et de Développement (SED) of the Centre Inria d'Université Côte d'Azur leads, coordinates and contributes to Inria development and experimentation activities, working with the scientists on technological actions. The SED from all Inria centers form a network of knowledge and expertise that coordinates to capitalize on the technologies developed in the institute and to develop the hardware and software infrastructures needed for research at Inria.
Fed-BioMed is an open-source federated learning framework for multi-centric, hospital-based medical applications. It focuses on security, access and interoperability with medical data, federated data preprocessing and harmonization, and lifecycle control by the hospital. Fed-BioMed creates a community of clinical, industry and academic partners fostering the adoption of collaborative learning in real-world medical applications. Fed-BioMed project is supported by Inria.
Mission confiée
Within the context of the research program PEPR Santé Numérique, this position of research engineer will be attached to the EPIONE team and hosted in SED, and will be working in collaboration with the PRIVATICS Inria team.
The overarching scope of this research engineer position is to be the primary contact point between the core engineering team of Fed-BioMed and the researchers of EPIONE and PRIVATICS team. Within this context, the work will revolve around two main goals:
* goal 1) contribution to the development of the core open-source software of Fed-BioMed, and
* goal 2) research and engineering support to the translation of research and methods from EPIONE and PRIVATICS teams to the Fed-BioMed platform.
The work will be based in the Centre Inria d'Université Côte d'Azur. The repartition of time spent between the two goals will be adjusted depending on the project advancement and priorities, and will be planned in advance in agreement between all parties. The project may also require some visits to the hospitals partners of Inria, to follow the deployment of the federated learning platform and facilitate the collaboration activity.
Principales activités
* Concerning goal 1, the main tasks consist in contributing to the development of the related prototypes and functionalities integrating the technological core ideas proposed by the researchers, and in participating to the general maintenance of the library and the life of the project (e.g. documentation, reviews, dissemination activities). The engineer is integrated as a member of the Fed-BioMed core development team, working with Agile methodology inspired from Scrum.
* Concerning goal 2, the main tasks consist in participating to the research activity on privacy-preserving methods for federated learning in healthcare. This requires to work with the research personnel, and eventually co-supervise the PhD students recruited within the project.
Code d'emploi : Architecte de Données (h/f)
Domaine professionnel actuel : Spécialistes Bases de Données
Niveau de formation : Bac+8
Temps partiel / Temps plein : Plein temps
Type de contrat : Contrat à durée indéterminée (CDI)
Compétences : Microsoft Access, Méthodologie Agile, Intelligence Artificielle, Apprentissage Collaboratif, Simulation Informatique, Réseaux Informatiques, Intégration Continue, Linux, Github, Interopérabilité, Python (Langage de Programmation), Machine Learning, NumPy, Technologie Open Source, Tensorflow, Conception et Développement de Logiciel, Sed (Langage de Programmation), Traitement des Données, Test-Driven Development (TDD), Pytorch, Git, Pandas, Scikit-learn, Technologies Informatiques, Free and Open Source Software, Software Version Control, Bibliothèque de Logiciels, Docker, Programming Languages, Anglais, Adaptabilité, Sens de la Communication, Réseautage, Axé sur le Succès, Esprit d'Équipe, Recherche, Algorithmes, Anatomie, Physiologie, Systèmes Automatisés, Biologie, Travaux Cliniques, Cryptographie, Support Ingénierie, Soins de Santé, Traitement d'Image, Gestion des Infrastructures, Plates-Formes d'Apprentissage, Maintenance et Dépannage, Mathématiques, Gestion de Projet, Médecine, Pratiques Médicales, Sciences Physiques, Réalisation de Prototypes, Recherche et Développement, Conception et Réalisation en Robotique, Simulations, Etudes et Statistiques, Imagerie, Science des Données, Tâches de Conditionnement, Capteurs, Applications des Règles et Consignes de Sécurité
Courriel :
Marco.Lorenzi@inria.fr
Téléphone :
0139635511
Type d'annonceur : Employeur direct
