Principal Scientist, Single-Cell Cancer Immunology

Bristol-Myers Squibb Company; Cambridge (MA); On-site; USD 167,000 - 202,000; Full time

Benefits offered by this job

Comprehensive benefits

Flexible Time Off

11 paid holidays

Wellbeing support

Job summary

Bristol Myers Squibble seeks a Principal Scientist in Cambridge, MA to lead single cell and spatial analyses for oncology programs. You will collaborate with biologists, translational scientists, and computational biologists to validate targets and generate hypotheses from high-dimensional data.

You will develop and maintain reproducible workflows, apply ML methods, and contribute to publications while mentoring junior scientists in a dynamic team environment.

Qualifications

• Pharmacology and computational biology focus with strong statistical foundations.
• Experience delivering scRNA-seq analyses from raw data to interpretation.
• Cloud/HPC experience and large-scale data analysis.

Responsibilities

• Serve as SME and hands-on analyst for single cell and spatial data in oncology programs.
• Design and execute end-to-end analyses of scRNA-seq data and spatial data.
• Integrate multi-omics and clinical data to build translational data packages.
• Mentor junior scientists and influence cross-functional teams.
• Develop reproducible analysis workflows and contribute to codebases.
• Communicate findings and author scientific reports and publications.

Skills

Single cell transcriptomics

Spatial transcriptomics

Machine learning

Python

R

Data analysis

Cross-functional collaboration

Computational biology

Education

Bachelor's degree + 8+ years

Master's degree + 6+ years

PhD + 4+ years

Tools

Seurat

Bioconductor

Scanpy

squidpy

Job description

Bristol Myers Squibble seeks a Principal Scientist in Cambridge, MA to lead single cell and spatial analyses for oncology programs. You will collaborate with biologists, translational scientists, and computational biologists to validate targets and generate hypotheses from high-dimensional data.

You will develop and maintain reproducible workflows, apply ML methods, and contribute to publications while mentoring junior scientists in a dynamic team environment.