PhD Researcher / Doctoral Researcher (m/f/d) Bioinformatics & AML
Core
Develop reproducible, gene-expression-based AML subtypes using machine learning on bulk and single-cell transcriptomics data to define developmental origins and prognostic subtypes.
Role type
PhD Researcher (Bioinformatics & Machine Learning)
Builds
Open-source R packages and transparent models for clinical diagnostics and research
Domain
Oncology (Acute Myeloid Leukemia) + Computational Biology
Deliverable
production ML models
Required skills
R programming, Python, statistics, machine learning, bulk transcriptomics, single-cell RNA-seq analysis, hierarchical modeling, package development
Preferred skills
cancer genomics, clustering, workflow systems, containers
Technologies
R, Python, high-performance computing
Responsibilities
Harmonize multi-cohort RNA-seq datasets and develop end-to-end subtype-discovery workflows; Build calibrated hierarchical machine-learning models for subtype assignment; Evaluate subtype definitions against molecular genetics and clinical outcomes; Map AML subtypes onto hematopoietic development atlases; Implement and document methods in a reproducible R package.
