Post-doc biostatistics, clinical epidemiology or mathematics

Catégorie de l'offre d'emploi: Santé publique

Métier: Etudes, recherche, développement

Type de poste: CDD

Durée du contrat: 2 ans

Temps de travail: Temps plein

Langues: Français, Anglais

Date de prise de poste: 01-10-2024

Département: Seine

Rémunération: salaire post-doc de l'Inserm


Missions / Contenu du poste

The goal of this research project is to enhance RCT data by incorporating real-world evidence (RWE) using data from population-based observational cohorts available on the platform. Since cohort data represent real-world data (RWD) collected from individuals in everyday settings, they are ideal for this purpose. Proper analysis of RWD can generate RWE that complements RCT findings. Techniques such as propensity score matching, inverse probability weighting, and counterfactual approaches like g-methods and doubly robust methods are employed to derive RWE and establish the causal connections between variables. The fundamental concept involves leveraging a portion of RWD to simulate a potential RCT. This approach is central to the emerging “benchmarking” trials, where the efficacy of observational analysis methods is assessed by comparing their outcomes to those of randomized trials. This methodology can then be used with observational data to evaluate the external validity or transportability of trial results. In essence, inferences can be drawn either by using the RWD to enhance the results of a clinical trial, such as through meta-analysis, or by starting with an RCT and constructing a benchmarked trial using the RWD.


Compétences requises / profil attendu

Essential: PhD in biostatistics, clinical epidemiology or mathematics; experience and proficiency in R programming; English language writing and presentation skills; excellent collaborative working practices (including use of online communications tools).

Desirable: Knowledge of DataSHIELD, an open-source software (based on the R language) that will be used to access data on the RECAP Preterm Platform; knowledge of git version control system; understanding of perinatal medicine terminology; French language skills.


Modalités de candidature

To apply, please send your CV and cover letter to Dr. Moreno Ursino (moreno.ursino@inserm.fr), Pr. Corinne Alberti (corinne.alberti@inserm.fr), and Dr. Andrei Morgan (andrei.morgan@inserm.fr).

#J-18808-Ljbffr