Ansök senast: 2024-12-03
Research engineer Statistical analysis of longitudinal medical data
Contexte et 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:
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.
Diplômes requis :
PhD degree or masterCompétences requises :
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
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