Postdoctoral Fellow in Biostatistics: Memorial Sloan Kettering Cancer Center
2 weeks ago
Overview
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.
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Job Description
We are seeking a highly motivated candidate interested in developing and applying novel statistical methods in the
quickly emerging area of data integration for a position as a postdoctoral fellow. The candidate will be involved in
various collaborations with a multidisciplinary research team to develop innovative statistical methods to address
various challenges of integrating data from different observational epidemiologic studies and population-based
surveys with only partial information, for mediation analysis. This position will provide exciting opportunities to
work on statistical techniques for non- and semi-parametric statistical models with moderate/high-dimensional
mediators while dealing with the practical complexities of large, complex studies with multiple data sources used
by modern scientists. The postdoctoral fellow will be co-mentored by Drs. Andriy Derkach and Chaya Moskowitz
and for a period of two years, with the possibility of extension for a third year.
The ideal candidate should have:
• PhD degree in biostatistics, statistics, bioinformatics, or a related field
• Experience in methodology in the areas of missing data, public health studies under various sampling designs and
high-dimensional data is desired but not required
• 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
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Closing
MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.
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