Contexte et atouts du poste

Within the framework of the PEPR SN SMATCH and in collaboration with the PreMeDICaL Inria team.

This research project focuses on the integration of external multi-source data to enhance decision-making in clinical research. The first task involves selecting relevant external data by assessing the similarity, discordance, and heterogeneity of results from various sources. Divergence-based distances will be refined to measure concordance between posterior distributions, ensuring that differences in sample sizes across sources do not distort comparisons. Transformations will be applied to standardize distributions, enabling consistent and meaningful integration of information. This approach aims to effectively propagate combined knowledge and uncertainties to subsequent clinical phases.

The second task addresses the issue of research waste caused by interrupted clinical trials, which often lead to significant information loss and reduced statistical power. This project will develop statistical methods to mitigate these challenges, employing frequentist analyses, Bayesian inference, and the incorporation of synthetic and auxiliary data from external sources. By doing so, it aims to preserve valuable information and improve the reliability of results in both individually and cluster-randomized trials.

Mission confiée

Collaborations:

The recruited person will be in connection with the whole SMATCH consortium ( https://pepr-santenum.fr/2023/11/07/smatch/ ) and in particular with the PreMeDICaL Inria team in Montpellier.

Responsibilities :

Mission 1: Design and develop innovative methods to improve existing models.
Mission 2: Translate into codes and software the innovative methods.

Principales activités

Main activities :

• Bibliography search of existing approaches;
• Improving the coding and explanations of methods for selecting and incorporating external data;
• Improving the coding and explanations of methods for coping information loss in halted clinical trials;
• Participating in scientific articles writing;
• Participating to conferences.

Compétences

Technical skills and level required:

• Advance knowled in mathematics (pure or applied)
• R and/or Phyton coding

Languages:

• Fluent in English

Relational skills:

• Feel confortable to work in a team

Avantages

• 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
• Social security coverage