Research engineer Statistical analysis of longitudinal medical data

TN France; Paris; Sur place; EUR 45 000 - 75 000; Plein temps

Résumé du poste

An innovative research opportunity awaits in Paris, focusing on statistical analysis of longitudinal medical data. Join a collaborative team working on the REWIND project, aimed at developing cutting-edge methods for precision medicine. As a Research Engineer, you'll engage in scientific discussions, contribute to impactful publications, and present your work at international conferences. With a supportive environment and generous benefits, including flexible hours and extensive leave, this role is perfect for those passionate about advancing healthcare through technology.

Prestations

Partial reimbursement for public transport

7 weeks of annual leave

10 RTT days

Possibility of teleworking

Flexible hours after 12 months

Provision of professional equipment

Participation in social activities

Qualifications

• PhD or Master’s degree with experience in statistical analysis.
• Strong Python programming skills required.

Responsabilités

• Develop new features, models, and algorithms for the software.
• Maintain the software and support users.

Connaissances

Statistical Analysis

Python Programming

Git/GitHub

Communication Skills

Writing Skills

Formation

PhD in a related field

Master’s degree in a related field

Description du poste

The job description is comprehensive but can be improved in terms of formatting and clarity. Minor restructuring and proper use of HTML tags will enhance readability and engagement. Here is a refined version:

Research Engineer - Statistical Analysis of Longitudinal Medical Data, Paris

Client: INRIA

Location: Paris, France

EU Work Permit Required: Yes

Job Reference: 275b7129b6b4

Job Views: 2

Posted: 07.05.2025

Expiry Date: 21.06.2025

Job Description:

You will work on the REWIND project (pRecision mEdecine WIth longitudinal Data), a multicentric initiative (Paris, Bordeaux, Lyon, Grenoble, Nice) funded through the “Investissement d’avenir” PEPR Santé Numérique. The project aims to develop new mathematical and statistical methods for analyzing multimodal, multiscale longitudinal data. These models will be implemented as prototypes and integrated into an easy-to-use, well-documented platform enabling researchers, especially clinicians, to analyze their datasets. The goal is to develop decision support systems that assist clinicians at the bedside, advancing precision medicine.

Within this context, you will collaborate with two INRIA teams: HeKA and ARAMIS lab. Your role will involve:

• Engaging in scientific discussions on methodological issues and interpreting results.
• Interacting with PhD students, postdocs, and engineers locally.
• Contributing to publications and presentations related to the software developed.

The ARAMIS lab develops open-source software Leaspy, with notable publications including:

• Schiratti et al., Journal of Machine Learning Research, 2017
• Poulet & Durrleman, Statistics in Medicine, 2023
• Fournier & Durrleman, ICML 2023
• Maheux et al., Nature Communications, 2023
• Ortholand et al., Journal of Neurology, 2023
• Di Folco et al., Movement Disorders, 2024
• Moulaire et al., Movement Disorders, 2023

Your responsibilities include:

• Developing new features (models, algorithms, metrics, visualizations).
• Maintaining the software.
• Supporting users and fostering community engagement.

You will also present the software at international conferences and contribute to medical studies by analyzing large patient databases, interpreting results, and assisting users.

Minimum Qualifications:

• PhD or Master’s degree with experience in statistical analysis.
• Strong Python programming skills.
• Experience with Git/GitHub and open-source projects is a plus.
• Excellent communication skills for interacting with users and team members.
• Good writing skills for documentation, websites, and scientific articles.

Benefits:

• Partial reimbursement for public transport.
• 7 weeks of annual leave plus 10 RTT days and additional leave options.
• Possibility of teleworking and flexible hours after 12 months.
• Provision of professional equipment.
• Participation in social, cultural, and sports activities.