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Research Engineer: Data Science and Security for Healthcare Applications
il y a 4 semaines
The Inria centre at Université Côte d'Azur is seeking a highly skilled Research Engineer to join the EPIONE team and contribute to the development of the digital patient (e-patient) for digital medicine (e-medicine).
The e-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 successful candidate will be responsible for contributing to the development of the core open-source software of Fed-BioMed, a federated learning framework for multi-centric, hospital-based medical applications. They will also provide 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, and the repartition of time spent between the two goals will be adjusted depending on the project advancement and priorities.
Main Responsibilities
- Contribute to the development of the related prototypes and functionalities integrating the technological core ideas proposed by the researchers.
- Participate to the general maintenance of the library and the life of the project (e.g. documentation, reviews, dissemination activities).
- Provide research and engineering support to the translation of research and methods from EPIONE and PRIVATICS teams to the Fed-BioMed platform.
Requirements
The ideal candidate will have a strong background in computer sciences and security, with a demonstrable background in machine learning and AI-related topics. They will also have experience in software development, data science, and security concepts, technology or tools for machine learning or computer networks.
The successful candidate will be able to work in a team following project management methods, preferably using Agile methodology, and have experience contributing to an open source project. They will also have good writing and communication skills, and a good level of technical and scientific English, both oral and written.
What We Offer
Inria offers a stimulating work environment, with opportunities for professional development and growth. The successful candidate will have access to state-of-the-art facilities and equipment, and will be part of a dynamic and international team.
The salary will be from 2692 € gross monthly, according to degree and experience.
