Memorial Sloan Kettering Cancer Center (MSK) is one of the worlds premier cancer centers, committed to exceptional patient care, leading-edge research, and superb educational programs. The blending of research with patient care is at the heart of everything we do. The institution is a comprehensive cancer center whose purposes are the treatment and control of cancer, the advancement of biomedical knowledge through laboratory and clinical research, and the training of scientists, physicians and other health care workers.

We are looking for highly motivated postdoctoral fellows interested in investigating immune spatial heterogeneity in human cancers. These projects are based on high-dimensional tissue imaging of the tumor and associated microenvironment with single-cell protein expression analysis and subsequent integration of genomic DNA/RNA profiling. The intention is to better define the function and development of the tumor/immune ecosystem to ultimately improve patient immunotherapeutic selection and prognostication, to better understand and overcome therapeutic resistance and to improve our understanding of biologic states in space and time.

In this role you will:

• Collaborate with quantitative experimentalists and computational scientists to conduct and publish research in a rapidly expanding investigational field with significant room for growth and ground-level development
• Use new experimental tools and design novel methods and assays to address problems in human tumor immunology
• Design and actualize high-dimensional spatial profiling studies within the immunopathology lab
• Work with high dimensional imaging data from a variety of cutting-edge platforms such as MIBI, Codex, Vectra/Polaris and Nanostring GeoMx
• Design strategies to analyze high dimensional imaging data
• Integrate imaging data with genomic DNA/RNA profiling
• Correlate findings with ongoing and recent clinical trials outcomes
• Author journal papers and attend conferences

The ideal candidate should have:

• PhD or MS degree in immunology
• Publication record in biologic or quantitative sciences
• Experience with R for data analysis and statistics
• Coding skills (esp. Python) would be helpful
• Recent graduates, MS, and PhD candidates who will defend soon are welcome

#LIPOST