Research Engineer: Data Science and Security for Healthcare Applications
il y a 3 semaines
Inria is a world-renowned research center that focuses on the development of digital technologies that transform society. The Inria centre at Université Côte d'Azur is a leading player in the field of digital health, with a strong emphasis on research and innovation.
This position is part of the research program PEPR Santé Numérique and will be attached to the EPIONE team, hosted in SED. The EPIONE project team contributes 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. The e-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 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.
As a research engineer, you will be working in close collaboration with the researchers of EPIONE and PRIVATICS team to develop and implement new technologies for healthcare data security and machine learning. Your main tasks will consist in contributing to the development of the core open-source software of Fed-BioMed, and research and engineering support to the translation of research and methods from EPIONE and PRIVATICS teams to the Fed-BioMed platform.
Main Responsibilities
- You will contribute to the development of the related prototypes and functionalities integrating the technological core ideas proposed by the researchers, and participate 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.
- You will participate to the research activity on privacy-preserving methods for federated learning in healthcare, working with the research personnel, and eventually co-supervise the PhD students recruited within the project.
This position is intended for PhD, Post-docs or Engineers in the field of computer sciences and security (IT, image processing, robotics, cryptography, automation, simulation and high-performance computing), with a demonstrable background in machine learning and AI-related topics.
Key Skills
• Strong experience in software development
• Strong training and / or experience in one or more of the following fields: Data science / Statistics, Machine Learning, Artificial Intelligence, Optimization
• Training in software development / software engineering / software design
• Knowledge of security concepts, technology or tools for machine learning or computer networks
• Knowledge of medical data
• Experience working in team following project management methods, preferably using Agile methodology
• Experience in developing under Linux
• Knowledge / experience in an R&D environment (public or private sector)
• Experience contributing to an open source project is a plus
Advantages
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Contribution to mutual insurance (subject to conditions)
From 2692 € gross monthly (according to degree and experience)
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