PhD in Biostatistics: High-Dimensional Survival & Omics

Inria Villeneuve d'Ascq; Villeneuve-d'Ascq; On-site; EUR 24,000 - 32,000; Full time

Job summary

1000scholars is offering a PhD position in Lille, joining the Datavers team at Inria and METRICS unit at the University of Lille. The research aims to develop a new statistical method for variable selection in survival analysis with competing risks, using repeated omics measurements to identify predictive biomarkers.

The project combines biostatistics, software development, and precision health, with results delivering both theory and a usable decision-support tool for clinical applications.

Qualifications

• MSc in Biostatistics is required.
• Proficiency in R and at least one scripting language (Python).
• In-depth knowledge of statistical learning to handle high-dimensional data.
• Creativity, independence, teamwork and communication skills are valued.

Responsibilities

• Develop a new statistical method for variable selection in survival analysis with competing risks.
• Explore biomarkers in omics data and build a generic, reusable decision-support software tool.
• Collaborate with multidisciplinary teams at Inria Lille and METRICS to advance methodology and software.

Skills

R

Python

Statistical learning

Teamwork & communication

Education

MSc in Biostatistics

Job description

1000scholars is offering a PhD position in Lille, joining the Datavers team at Inria and METRICS unit at the University of Lille. The research aims to develop a new statistical method for variable selection in survival analysis with competing risks, using repeated omics measurements to identify predictive biomarkers.

The project combines biostatistics, software development, and precision health, with results delivering both theory and a usable decision-support tool for clinical applications.