PhD Position in High-Dimensional Survival Modelling and Competing Risks
Develop novel biostatistical methods and decision-support software for high-dimensional survival analysis and precision health.
Best for:Best for master's graduates in biostatistics with a strong background in R, statistical learning, and survival modelling.
Overview
This 3-year PhD position is offered by Inria at the University of Lille, working jointly within the Datavers research team and the METRICS public health unit. Funded by the Numetab project, the research focuses on developing advanced statistical methods for variable selection in survival analysis with competing risks and longitudinal omics data. The successful candidate will create clinical decision-support software to identify new biomarkers for precision health and personalized treatment. Applicants are expected to hold a Master's degree in Biostatistics and demonstrate strong computational and analytical skills.
What you'll do
- Develop novel statistical methods for variable selection in survival prediction models with competing risks.
- Analyze high-dimensional longitudinal omics datasets including transcriptomics, metabolomics, and proteomics.
- Improve biomarker discovery pipelines using repeated measurements on thousands of variables simultaneously.
- Design and implement a generic decision-support software tool for clinical and biostatistical applications.
- Collaborate with methodologists and clinicians across the Datavers team and the METRICS research unit.
- Contribute to scientific publications and present research findings at conferences.
Requirements
Degree required: MSc in Biostatistics or equivalent
Degree offered: PhD
Language: English; working knowledge to conduct research and write reports
Instruction: English
- Proficiency in R programming and at least one scripting language such as Python
- In-depth knowledge of statistical learning and high-dimensional data analysis
- Basic knowledge of molecular and cellular biology, genomics, and genetics
- Strong analytical and mathematical modeling capabilities
- Hold a Bac + 5 degree or equivalent master's level qualification
Funding & terms
How to apply
Deadline: 2026-12-12
Prepare your curriculum vitae and a cover letter, then submit your application directly through the online Inria recruitment portal before the specified deadline.
- CV
- Cover letter
Contact
Guillemette Marot· PhD Advisor
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