Principal Scientist, Single-Cell & Spatial Immunology

Bristol Myers Squibb; Brisbane (CA); Hybrid; USD 167,000 - 202,000; Full time

Benefits offered by this job

Comprehensive benefits package

Flexible time off

Paid holidays

Job summary

Bristol Myers Squibb is seeking a Principal Scientist in Computational Cancer Immunology to lead single cell and spatial analyses within Oncology IPS. You will partner with biologists and translational teams to generate hypotheses, interpret complex data, and advance candidate targets using advanced ML approaches.

The role emphasizes mentoring, reproducible workflows, and collaboration across matrix teams to accelerate translational insights and therapy development for cancer patients.

Qualifications

• Bachelor’s or higher in a relevant field with extensive experience.
• Strong track record in scRNA-seq and spatial analyses.
• Proficiency in R or Python with reproducible workflows.

Responsibilities

• Lead single cell and spatial analyses for oncology programs.
• Design end-to-end analyses of scRNA-seq and spatial data.
• Integrate multi-omics with clinical data for target concepts.

Skills

Single cell transcriptomics

Spatial transcriptomics

Multi-omics integration

R or Python

Machine learning

Computational pathology

AI-assisted development tools

Statistics & experimental design

Cloud/HPC

Publications & research programs

Drug discovery understanding

Cross-functional influence

Communication skills

Cancer immunology background

Education

Bachelor’s degree with 8+ years of experience

Master’s degree with 6+ years of experience

PhD with 4+ years in computational biology / related field

Tools

Seurat

Bioconductor

Scanpy

Squidpy

Job description

Bristol Myers Squibb is seeking a Principal Scientist in Computational Cancer Immunology to lead single cell and spatial analyses within Oncology IPS. You will partner with biologists and translational teams to generate hypotheses, interpret complex data, and advance candidate targets using advanced ML approaches.

The role emphasizes mentoring, reproducible workflows, and collaboration across matrix teams to accelerate translational insights and therapy development for cancer patients.