Principal Scientist - Computational Cancer Immunology
Core
Scientific lead for single cell and spatial transcriptomics analysis across discovery cancer immunology programs, generating therapeutic hypotheses and resolving tumor microenvironment composition.
Role type
Principal Scientist, hands-on individual contributor
Builds
Novel therapeutic hypotheses and translational data packages for cancer immunology discovery
Domain
Biopharma / Oncology / Computational Biology
Deliverable
production ML models
Required skills
Single cell transcriptomics, Spatial transcriptomics, Machine learning, Statistical analysis, Experimental design, Cloud computing, Reproducible workflows, Cross-functional influence
Preferred skills
PhD in quantitative field, Deep learning, Multi-omics integration, Computational pathology, AI-assisted development tools, Cancer immunology background
Technologies
R, Python, Seurat, Bioconductor, Scanpy, squidpy
Responsibilities
Design and execute end-to-end analyses of single cell and spatial transcriptomics data; Integrate multi-modal data (bulk RNA-seq, proteomics, genomics, clinical); Develop reproducible analysis workflows; Mentor junior scientists; Partner with biologists to shape experimental design; Publish scientific reports and patents.
Seniority
Principal, hands-on IC with mentorship