The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.
Job DescriptionRole Overview
We are seeking a highly motivated candidate, interested in statistical and computational methods development and application in immuno-oncology studies, for a position as a postdoctoral fellow. Our group has curated a rich dataset of single cell immune profiling of the blood and tissue samples from cancer patients treated with immunotherapy, including flow cytometry, spatial transcriptomics, and co-registered multiplexed immunofluorescence (mIF) staining and H&E images with rich clinical annotation. The candidate will have the opportunity to lead the development of novel statistical and computational approaches and work with world’s leading immuno-oncology experts.
Key Requirements:
Ph.D. degree in biostatistics, statistics, bioinformatics, ora related fieldExperience in high dimensional data analysis and deep
learning. Possess solid methodological training in statistics, and capability working with large data sets, proficient in at least one of
the statistical programming languages Python/R, and have experience in workingon Unix/Linux systems and basic shell scripting.
Application Instructions:
To apply, please submit the following to Ronglai Shen (shenr@mskcc.org): Memorial Sloan Kettering Cancer Center:
Curriculum Vitae (CV)Letter of InterestContact information for three referencesPay Range: 380,000 - 650,000
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