Research engineer Statistical analysis of longitudinal medical data

France Life Imaging; France; À distance; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Un institut de recherche national recherche un spécialiste pour travailler sur le projet REWIND, dédié au développement de systèmes de décision en médecine de précision. Vous aurez la charge du développement de nouvelles fonctionnalités et de la maintenance logicielle, avec des présentations lors de conférences scientifiques. Un diplôme de PhD ou un master est requis, ainsi qu'une expérience en analyse statistique et en programmation Python.

Qualifications

• Diplôme requis : PhD ou master.
• Expérience en analyse statistique et programmation en Python.
• Compétences relationnelles excellentes.

Responsabilités

• Développer de nouvelles fonctionnalités et algorithmes.
• Assurer la maintenance logicielle.
• Présenter le logiciel lors de conférences scientifiques.

Connaissances

Analyse statistique

Programmation en Python

Gestion de projet avec Git/GitHub

Compétences relationnelles et communication

Compétences rédactionnelles

Formation

PhD ou master

Description du poste

Type de 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.

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 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.

Diplômes requis : PhD degree or master

Compétences 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