Postdoc (m/f/d) – Translational Cancer Research | Gastroenterology
Core
Decipher molecular mechanisms of tumor evolution, cellular plasticity, and therapy resistance in gastric and gastroesophageal adenocarcinoma (GEAC) by integrating longitudinal multi-omics datasets from clinical trials.
Role type
Postdoctoral Researcher (Computational Biology/Cancer Genomics)
Builds
Bioinformatic pipelines and computational analyses for high-dimensional sequencing datasets
Domain
Oncology / Cancer Genomics / Computational Biology
Deliverable
production ML models | research
Required skills
Next-generation sequencing data analysis, R programming, Python programming, Linux/Unix environment usage, multi-omics data integration, independent project design
Preferred skills
Cell-free DNA sequencing analysis, single-cell RNA sequencing, spatial transcriptomics, machine learning for biological datasets
Technologies
R, Python, Linux/Unix
Responsibilities
Analyze and integrate single-cell and spatial transcriptomic datasets; infer tissue-specific gene expression from plasma cell-free DNA; develop computational approaches for genomic/transcriptomic/epigenomic/immune data integration; reconstruct tumor evolutionary trajectories; implement bioinformatic pipelines for high-dimensional sequencing data; collaborate with clinicians and biologists; present research at conferences and publish in high-impact journals