Principal Scientist - Computational Cancer Immunology
Core
Scientific lead for single cell and spatial transcriptomics analysis across discovery cancer immunology programs, generating therapeutic hypotheses and validating targets.
Role type
Principal Scientist, hands-on individual contributor
Builds
Novel therapeutic hypotheses and target validation for cancer immunology
Domain
Biopharma / Oncology / Computational Biology
Deliverable
production ML models
Required skills
Single cell transcriptomics, Spatial transcriptomics, Machine learning, Statistical analysis, Data integration, Scientific mentorship, Reproducible workflow development, Experimental design, Programming (R/Python), High-dimensional data analysis
Preferred skills
PhD in quantitative field, Deep learning expertise, Multi-omics integration, Generative AI models
Technologies
Seurat, Bioconductor, Scanpy, squidpy, Python, R