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Memorial Sloan Kettering Cancer Center – Statistical-Immuno-Oncology Postdoctoral Fellow

Company Information: 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.

Position Title: Statistical-Immuno-Oncology Postdoctoral Fellow

Duties and Responsibilities: 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. This position will focus on analyzing high-dimensional flow cytometry data, single-cell RNA sequencing, multiplex tissue imaging, and spatial transcriptomics in patients treated with immune checkpoint blockade (ICB) 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.

Position Qualifications: Applicants should hold a Ph.D. degree in biostatistics, statistics, bioinformatics, or a related field, ideally with experience in high dimensional data analysis. The successful candidate should have solid methodological training in statistics, be comfortable working with large data sets, proficient in at least one of the statistical programming languages Python/R/Matlab and have experience working on Unix/Linux systems and basic shell scripting. Prior experience with single-cell data would be an asset.

Salary Range: $55,439 – 100,940

Benefits:

Website: https://www.mskcc.org/departments/epidemiology-biostatistics/jobs

Application Information: The successful applicant will be supervised jointly by Drs. Ronglai Shen and Katherine Panageas. To apply, send a cover letter, cv, and the names of 3 references to Ronglai Shen (shenr@mskcc.org): Memorial Sloan Kettering Cancer Center, 633 3rd Avenue, New York, NY 10017.

Contact Email: shenr@mskcc.org

Application Deadline: 06/01/2025

Company NameMemorial Sloan Kettering Cancer Center

Company Information

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.

Position TitleStatistical-Immuno-Oncology Postdoctoral Fellow

Duties and Responsibilities

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. This position will focus on analyzing high-dimensional flow cytometry data, single-cell RNA sequencing, multiplex tissue imaging, and spatial transcriptomics in patients treated with immune checkpoint blockade (ICB) 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.

Position Qualifications

Applicants should hold a Ph.D. degree in biostatistics, statistics, bioinformatics, or a related field, ideally with experience in high dimensional data analysis. The successful candidate should have solid methodological training in statistics, be comfortable working with large data sets, proficient in at least one of the statistical programming languages Python/R/Matlab and have experience working on Unix/Linux systems and basic shell scripting. Prior experience with single-cell data would be an asset.

Salary Range$55,439 – 100,940

Position or Company Websitemskcc.org

Application Instructions

The successful applicant will be supervised jointly by Drs. Ronglai Shen and Katherine Panageas. To apply, send a cover letter, cv, and the names of 3 references to Ronglai Shen (shenr@mskcc.org): Memorial Sloan Kettering Cancer Center, 633 3rd Avenue, New York, NY 10017.

Application Deadline06/01/2025

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