Postdoctoral Fellow in Computational Medicine

Postdoctoral Fellow in Computational Medicine

Servier

Gif-sur-Yvette, France

Are you a dynamic and innovative researcher passionate about advancing cancer treatment through data science? We are seeking a postdoctoral fellow to join our translational medicine research team, focusing on deciphering and modeling therapy resistance. This is a unique opportunity to play a crucial role in understanding intra-tumoral heterogeneity in Acute Myeloid Leukemia patients by applying pioneering AI-based approaches at the intersection of multi-OMIC characterization and disease understanding.

Responsibilities:

• Self-document on state-of-the-art methods of interest for the project.
• Implement, benchmark, and share appropriate methodologies in R or Python for the purpose of the project.
• Perform comprehensive multi-omic data analysis to characterize and model relapse-specific tumor clones.
• Identify biomarkers or predictive signatures associated with therapy resistance.
• Synthesize and interpret analyses in written reports in English.
• Share selected project outcomes through scientific publications in peer-reviewed journals, posters, and/or oral presentations at conferences.
• Collaborate with cross-functional teams (R&D, IT) to ensure integration of research efforts.

Profile:

• PhD in Bioinformatics, Biostatistics, or Data Science, with demonstrated expertise in single‑cell omics data analysis.
• Hands‑on experience with single‑cell sequencing technologies (e.g., scRNA‑seq, proteogenomic) and comfort working with complex, high‑dimensional datasets.
• Proven experience in developing data science (Machine Learning, AI) applications for translational research projects.
• Excellent skills in R and/or Python, including code sharing and versioning.
• Proficiency with Linux environments, HPC, and cloud computing.
• Good knowledge of molecular biology and proven experience in single-cell data analysis for oncology.
• Scientific level English (written and spoken).
• Ability to work closely with multidisciplinary teams with good organization and communication skills.