Postdoctoral Researcher, Statistical Genetics and Genomic – Kushal Dey Lab, Computational and Systems Biology Program Memorial Sloan Kettering Cancer Center

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. One of the world’s most respected comprehensive centers devoted exclusively to cancer, we have been recognized as one of the top two cancer hospitals in the country by U.S. News & World Report for more than 30 years.

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The Kushal Dey Lab is seeking a highly motivated and successful individual with a background in statistical genetics and genomics. The candidate will work closely with Dr. Dey, other quantitative PhDs in the group and with collaborators at MSK, Weill Cornell Medicine, The Rockefeller University, and other institutions. Questions we aim to answer include – (1) Which statistical and machine-learning approaches and methods provide maximum power to identify genes, gene pathways and genomic regions that are critical for disease, (2) What is the contribution of different omics data (RNA-seq, ATAC-seq, Perturb-seq, spatial transcriptomics) to the heritability of complex disease, and how this informs disease association and polygenic models of disease risk, (3) How common and rare are variants contribute to disease and disease-related function in diverse populations, while accounting for the effects of selection.

The ideal candidate should have:

• Exceedingly strong quantitative research background
• Practical experience working with large rea;-world genetic data sets, developing new methods, and producing high-quality published work
• Proficient in computing, with expertise in R and/or Python
• Preference will be given to candidates with degrees in computer science, statistics, computational biology, and other quantitative fields.

If you have any questions about this job opportunity, please contact:

Briche Lassiter

lassitb@mskcc.org

Please include a brief statement of interest, CV, contact information for at least 3 references, and two sample publications.

Salary: $63,755 - $100,940

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