Bioinformatics/Data Scientist
Core
Analyze multi-omics data from organoid systems to characterize fidelity, identify biomarkers, and develop computational frameworks for quality assessment.
Role type
Senior Bioinformatics/Data Scientist (multi-omics)
Builds
Computational pipelines for data processing, quality control, and statistical analysis of organoid datasets
Domain
Biomedical research / Organoid biology / Multi-omics
Deliverable
production ML models | dashboards & analysis
Required skills
Single-cell RNA sequencing analysis, Bulk RNA sequencing analysis, Proteomics data analysis, Metabolomics data analysis, R programming, Python programming, Statistical analysis, Data visualization, Machine learning concepts
Preferred skills
Organoid dataset analysis, Pathway analysis tools, Developmental biology principles, High-performance computing, Version control systems
Technologies
Seurat, Scanpy
Responsibilities
Analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data; Develop and implement computational pipelines for data processing, quality control, and statistical analysis; Integrate SOM-generated data with publicly available datasets to benchmark organoid characteristics; Collaborate with experimental teams to interpret results and guide protocol optimization; Contribute to manuscript preparation and present findings at scientific conferences