Postdoctoral Fellow, Biostatistics

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.

In compliance with applicable State regulatory authorities, COVID-19 vaccination is mandatory for all MSK staff. Staff are considered fully vaccinated upon completion of a primary vaccination series for COVID-19 (i.e., one dose of a single dose vaccine or a final dose of a multi-dose vaccine series). Exceptions from the COVID-19 vaccine requirement are permitted for those who request and receive an approved medical or fully remote exemption.  Requests for medical exemption can take up to two weeks to review. Vaccination or an approved medical exemption is required to start work.

Note: Individuals are eligible to receive a COVID-19 booster two months after completion of a primary vaccination series for COVID-19.  Because vaccine-induced immunity can wane over time, MSK continues to strongly urge all staff to get a COVID-19 booster as soon as they become eligible to maintain their protective immunity for a longer period.

We are seeking a highly motivated candidate, interested in statistical and computational cancer genomics, for a position as a postdoctoral fellow. This position will focus on developing statistical models and computational methods for the integration of data from multi-modal tumor-profiling (targeted, whole-exome, wholegenome sequencing, DNA methylation, RNA-seq, spatial transcriptomics), and working with a highly interdisciplinary group of investigators toward understanding cancer biology and disease progression.

The ideal candidate should have:
• PhD degree in biostatistics, statistics, bioinformatics, or a related field
• experience in NGS sequencing data analysis including whole-exomes and
whole-genomes
• Solid methodological training in statistics, be comfortable working with large
data sets, proficient in at least one of the statistical programming languages
R/Matlab/Python and have experience working on Unix/Linux systems and
basic shell scripting

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

Samantha Vasquez
Assistant to the Chairman
Vasques2@mskcc.org

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