English proficiency sufficient to work in an international team
Proficiency in at least one programming language (R, Python, Go, C++)
Experience in analyzing omics data, preferably RNA expression data
Foundational understanding of probability theory and statistics
Foundational understanding of statistical machine learning and pattern recognition
Experience developing ML models using frameworks such as scikit-learn, Keras, TensorFlow, PyTorch (especially supervised learning for classification problems)
Research or analysis experience in biology or related fields
歓迎
Docker
Workflow management languages (Snakemake/Nextflow)
AWS cloud
Training on small-size datasets
Handling imbalanced data
Transcriptome analysis experience
Liquid biopsy knowledge/experience
microRNA knowledge
cfDNA knowledge
Foundational understanding of next-generation sequencing and quantitative PCR
Biological research/analysis experience
Wet lab experiment experience
Cancer biology/medical knowledge or analysis experience
Molecular diagnostics domain knowledge
Clinical application of machine learning knowledge/experience