Postdoctoral Scientist: Computational Oncology & Immunology

Memorial Sloan Kettering Cancer Center; New York (NY); On-site; USD 75,000 - 80,000; Full time

Job summary

Memorial Sloan Kettering Cancer Center is seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution. The incumbent will work on multimodal datasets including scRNA-seq, spatial transcriptomics, and mIF to uncover mechanisms of immunology and tumor co-evolution in gastric cancer.

Applicants should hold a Ph.D.

Qualifications

• PhD-level experience in computational biology, single cell omics applied in a cancer setting.
• Experience in high-dimensional data analysis.

Responsibilities

• Lead translational studies integrating multimodal datasets in gastric cancer immunology and evolution.
• Collaborate with immunology, pathology and GI oncology teams.
• Mentor junior researchers and contribute to methodological innovations.

Skills

Computational biology

Single-cell omics

High-dimensional data analysis

Tumor immunology

Education

PhD in biostatistics / computational biology

Tools

scRNA-seq analysis

Spatial transcriptomics

Multiplex immunofluorescence (mIF)

Job description

Memorial Sloan Kettering Cancer Center is seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution. The incumbent will work on multimodal datasets including scRNA-seq, spatial transcriptomics, and mIF to uncover mechanisms of immunology and tumor co-evolution in gastric cancer.

Applicants should hold a Ph.D.