Postdoc Biostatistics Scholar: Immuno-Oncology Data Science

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

Job summary

Memorial Sloan Kettering Cancer Center in New York seeks a Postdoctoral Fellow in Biostatistics to advance statistical and computational methods for immuno-oncology studies. You will work with multimodal immune profiling data (flow, scRNA-seq, spatial, mIF, and H&E) to develop integrative models identifying biomarkers and treatment responses, in collaboration with leading scientists.

Strong training in statistics, high‑dimensional data analysis, and experience with deep learning or foundation

Qualifications

• Strong statistical training and experience with high-dimensional data analysis.
• Experience applying statistical methods to biomedical data.
• Background in immuno-oncology or translational research is a plus.

Responsibilities

• Develop novel statistical and computational methods for multimodal data integration.
• Identify predictive biomarkers and mechanisms of treatment response.
• Collaborate with immunology, pathology, oncology, and data science experts.

Skills

Strong methodological training in stat

High-dimensional data analysis

Deep learning / foundation models for

Education

Ph.D. in biostatistics or related

Job description

Memorial Sloan Kettering Cancer Center in New York seeks a Postdoctoral Fellow in Biostatistics to advance statistical and computational methods for immuno-oncology studies. You will work with multimodal immune profiling data (flow, scRNA-seq, spatial, mIF, and H&E) to develop integrative models identifying biomarkers and treatment responses, in collaboration with leading scientists.

Strong training in statistics, high‑dimensional data analysis, and experience with deep learning or foundation