Postdoc: AI‑Driven AML Therapy Resistance Modeling

Servier Group; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Servier Group is seeking a postdoctoral fellow in France to advance cancer treatment through innovative data science methodologies. This role involves researching intra-tumoral heterogeneity in leukemia, utilizing AI and multi-OMIC techniques.

Key responsibilities include implementing data analysis methods, identifying biomarkers, and collaborating with multidisciplinary teams. The ideal candidate will hold a PhD in Bioinformatics or related fields, with robust experience in single-cell data analysis and programming in R/Python.

Qualifications

• PhD in Bioinformatics, Biostatistics, or Data Science, with expertise in single-cell omics data analysis.
• Hands-on experience with single-cell sequencing technologies, ideally scRNA-seq.
• Proven experience in developing data science applications for translational research.
• Excellent skills in R and/or Python, with versioning experience.
• Proficiency with Linux environments and cloud computing.

Responsabilités

• Self-document on state-of-the-art methods relevant to the project.
• Implement and benchmark methodologies in R or Python.
• Analyze multi-omic data to characterize tumor clones.
• Identify biomarkers linked to therapy resistance.
• Report analyses in written format in scientific English.
• Share findings through publications, posters, and presentations.
• Collaborate with R&D and IT teams to ensure research alignment.

Connaissances

Bioinformatics

Data Science

Machine Learning

R Programming

Python

Linux

Single-cell omics data analysis

Formation

PhD in Bioinformatics, Biostatistics, or Data Science

Outils

scRNA-seq

High-dimensional datasets

Description du poste

Servier Group is seeking a postdoctoral fellow in France to advance cancer treatment through innovative data science methodologies. This role involves researching intra-tumoral heterogeneity in leukemia, utilizing AI and multi-OMIC techniques.

Key responsibilities include implementing data analysis methods, identifying biomarkers, and collaborating with multidisciplinary teams. The ideal candidate will hold a PhD in Bioinformatics or related fields, with robust experience in single-cell data analysis and programming in R/Python.