Research engineer Statistical analysis of longitudinal medical data
Background and mission :
You will work in the context of the project REWIND (pRecision mEdecine WIth longitudinal Data), a multicentric project (Paris, Bordeaux, Lyon, Grenoble, Nice) granted via the “Investissement d’avenir” PEPR Santé Numérique. The project will focus on the development of new mathematical and statistical approaches for the analysis of multimodal multiscale longitudinal data.The project will allow the development of a new generation of decision support systems, which will help clinicians at the bedside to make more informed decisions for the patient. They will contribute to the development of precision medicine in several key areas.
You will be in charge of the:
– development of new features (implementation of new models, algorithms, metrics, visualizations),
-software maintenance,
-user support and animation of the community.
In addition, you will be presenting the software at international scientific conferences and other events, and you will contribute to ambitious medical studies, by using Leaspy on large databases of patients, contributing to the interpretation of results and providing assistance to users.
Diplomas required :
PhD degree or master
Skills required:
Experience in the field of statistical analysis, Strong programming skills in Python, Experience working with Git/GitHub on open-source projects would be a plus, Excellent relational and communication skills to interact with users and lab members, Good writing skills
Structure :
Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.