Computational Oncology Postdoc: Single-Cell Immuno-Oncology

Irrespub; New York (NY); Sur place; USD 75 000 - 80 000; Plein temps

Résumé du poste

Memorial Sloan Kettering Cancer Center is seeking a computational biology postdoctoral researcher to investigate gastric cancer immunology and evolution using single-cell and spatial datasets. You will integrate multimodal data and develop computational methods within a collaborative cancer research team.

The role emphasizes applying advanced single-cell analyses to cancer biology, contributing to translational insights, and working alongside immunology and oncology experts at MSK.

Qualifications

• PhD in computational biology, biostatistics, statistics, computer science, or a related quantitative discipline.
• First-author publication from doctoral or postdoctoral research.
• Experience with cancer-focused single-cell analysis and high-dimensional data.
• Knowledge of tumor biology and immunology preferred.

Responsabilités

• Investigate gastric cancer immunology and evolution using single-cell and spatial datasets.
• Integrate multimodal research data and develop computational approaches within a collaborative cancer research team.

Connaissances

Single-cell analysis

High-dimensional data

Cancer biology

Immunology

Formation

PhD in computational biology/biostatistics/CS/quantitative field

Description du poste

Memorial Sloan Kettering Cancer Center is seeking a computational biology postdoctoral researcher to investigate gastric cancer immunology and evolution using single-cell and spatial datasets. You will integrate multimodal data and develop computational methods within a collaborative cancer research team.

The role emphasizes applying advanced single-cell analyses to cancer biology, contributing to translational insights, and working alongside immunology and oncology experts at MSK.