About this role
Research Scholar, Biostatistics Service
Department of Epidemiology and Biostatistics
Location: New York, NY
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.
Exciting Opportunity at MSK: Research Scholar, Biostatistics Service
Role 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 assembled a uniquely rich, multimodal dataset of immune profiling from blood and tissue samples of cancer patients treated with immunotherapy. These data include flow cytometry, scRNA-seq, spatial transcriptomics, and co-registered multiplex immunofluorescence (mIF) and H&E whole-slide images, all linked to comprehensive clinical annotations.
The successful candidate will have the opportunity to lead the development of novel statistical and computational methods for integrating multimodal datasets to uncover mechanisms of treatment response, identify predictive biomarkers, and advance precision immuno-oncology. The fellow will work closely with world-leading experts in immunology, pathology, oncology, and data science, with opportunities to develop both methodological innovations and clinically impactful applications.
Key Requirements:
- Hold a Ph.D. in biostatistics, statistics, computer science, computational biology, or related quantitative discipline.
Core Skills:
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Strong methodological training in statistics
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Experience in high-dimensional data analysis
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Preferably have a deep learning or foundation models for biomedical data.
Pay Range: $75,000- $80,000