Data Scientist Fellow — Multi-Omics Analysis
Core
Conduct comprehensive analyses of multi-omics data from organoid systems and normal tissues to characterize fidelity, identify biomarkers, and develop computational frameworks for quality assessment.
Role type
Senior IC bioinformatics data scientist (multi-omics)
Builds
Computational pipelines and analytical frameworks for organoid quality assessment and biomarker identification
Domain
Biomedical informatics / Multi-omics (single-cell RNA-seq, proteomics, metabolomics)
Deliverable
production ML models
Required skills
Single-cell data analysis (Seurat, Scanpy), R, Python, statistical analysis, data visualization, proteomics workflows, metabolomics workflows
Preferred skills
Organoid dataset analysis, machine learning for biological data, pathway analysis tools, developmental biology principles, high-performance computing, version control
Technologies
Seurat, Scanpy, R, Python
Responsibilities
Analyze single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data; Develop and document reproducible computational pipelines; Integrate internal data with public datasets for benchmarking; Develop analytical approaches and machine learning methods for classifying cellular states; Collaborate with experimental teams to interpret results and optimize protocols; Contribute to manuscript preparation and conference presentations