STATISTICIAN - PROJECT CRESS UNIVERSITE PARIS CITE

euraxess.ec.europa.eu - Jobboard; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading research institution in France seeks a statistical engineer to contribute to various METHODS projects. The role involves conducting data analyses, applying relevant statistical methods, and drafting reports. Candidates should have a Master's degree and a solid background in statistics or Machine Learning, with proficiency in SAS, R, or Python. Fluency in scientific English is required.

Qualifications

• Solid background in statistics or Machine Learning.
• Experience in observational studies' statistical analyses.
• Fluent in scientific English.

Responsabilités

• Conduct data analyses within research projects.
• Identify and apply relevant statistical methods.
• Draft reports presenting statistical analysis results.
• Deliver presentations and training for knowledge transfer.

Connaissances

Statistics

Machine Learning

Proficiency in R

Proficiency in SAS

Proficiency in Python

Formation

Master Degree or equivalent

Description du poste

Centre for Research Epidemiology and Statistics

Organisation/Company UNIVERSITE PARIS CITE Department Centre for Research Epidemiology and Statistics Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions Master Positions Country France Application Deadline 20 Sep 2025 - 00:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The METHODS team of Centre for Research Epidemiology and Statistics (CRESS) is seeking a statistical engineer to contribute to the statistical work of the various METHODS projects (“EMULE” IRESP, “PRAIRIE” ANR, “NECESSITY” H2020, etc.).

Conduct data analyses within the framework of a research project.

Activities:

• Identify and apply the most relevant existing statistical methods for specific datasets,
• Develop customized programs to account for the specific features of a given statistical study,
• Select and implement the most appropriate and efficient software tools for the study or project,
• Contribute to the drafting of reports and synthesis documents presenting statistical analysis results,
• Deliver presentations and training sessions to ensure knowledge transfer,
• Implement advanced or innovative methods requiring adaptation of existing processes or programs,
• Analyze complex datasets,
• Perform numerical simulations and manage the large volumes of data generated.

Team:

The team METHODS ( Methods for therapeutic evaluation of chronic disease ) of CRESS, located at Hôtel-Dieu hospital in the center of Paris, is affiliated to Université Paris Cité and Inserm. It olfers a dynamic international research environment.

Where to apply

E-mail [e-mail]

Requirements

Research Field Mathematics » Mathematical analysis Education Level Master Degree or equivalent

Skills/Qualifications

Required Knowledge :

• Solid background in statistics or Machine Learning,
• Proficiency in classical statistical methods in health research (e.g., logistic regression, Poisson regression, Cox models),
• Experience in the statistical analysis of data from observational studies,
• Proficiency in SAS, R, or Python.

Required Skills :

• Ability to appropriately interpret the results of statistical analyses,
• Capacity to learn and apply new statistical methods and tools,
• Fluent in reading, writing, and speaking scientific English,
• Precision, organizational skills, and adherence to scientific deadlines