Forskningsassistent
Core
Developing computational methods (statistical methods and machine learning) to derive complex cell properties from single-cell gene expression data.
Role type
Senior IC computational biologist / data scientist
Builds
Computational pipelines and analytical tools for single-cell genomics research
Domain
Computational biology, genomics, cancer research
Deliverable
production ML models
Required skills
single-cell transcriptomics, spatial transcriptomics, statistical methods, machine learning, R programming, Python programming, algorithm development, data visualization, handling large datasets
Preferred skills
reproducible pipeline development, functional inference, project leadership, HPC and parallelization
Responsibilities
Develop statistical methods and machine learning algorithms for single-cell gene expression data, build computational pipelines for data analysis, visualize complex cell properties
Seniority
Senior, hands-on IC
