Lead Scientist: Single-Cell & Spatial Cancer Immunology

Bristol-Myers Squibb Co; Virginia; Vor Ort; USD 167.000 - 202.000; Vollzeit

Benefits dieser Stelle

Flexible Time Off

11 paid holidays

Vacation

Zusammenfassung

Bristol Myers Squibb seeks a senior computational biologist to lead single cell and spatial transcriptomics analyses within the Oncology team of IPS. You will apply cutting‑edge machine learning and statistical methods to high‑dimensional patient data, collaborating with biologists and translational scientists to generate testable hypotheses and translational data packages.

The role emphasizes hands‑on analysis, code reproducibility, and mentorship of junior scientists, with opportunities to

Qualifikationen

• Bachelor’s degree with 8+ years of academic/industry experience.
• Master’s degree with 6+ years of experience or PhD with 4+ years in computational biology or related field.
• Demonstrated depth in single cell transcriptomics and independent scRNA‑seq analyses.

Aufgaben

• Serve as subject matter expert for single cell and spatial data in discovery cancer immunology programs.
• Design end‑to‑end analyses of scRNA‑seq data and spatial transcriptomics across platforms.
• Integrate multi‑modal data to build translational data packages for target opportunities.
• Collaborate with biologists and translational teams on study design and validation.
• Develop reproducible workflows and contribute to shared codebases.

Kenntnisse

Single cell transcriptomics

Spatial transcriptomics

R or Python programming

Machine learning / AI methods

Statistical analysis

Cloud / HPC

Communication skills

Cross-functional collaboration

Ausbildung

PhD in computational biology or related

Master’s in quantitative field

Bachelor’s degree with 8+ years experience

Tools

Seurat

Bioconductor

Scanpy

Squidpy

Git / version control

Workflow management

Jobbeschreibung

Bristol Myers Squibb seeks a senior computational biologist to lead single cell and spatial transcriptomics analyses within the Oncology team of IPS. You will apply cutting‑edge machine learning and statistical methods to high‑dimensional patient data, collaborating with biologists and translational scientists to generate testable hypotheses and translational data packages.

The role emphasizes hands‑on analysis, code reproducibility, and mentorship of junior scientists, with opportunities to