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Postdoctoral Fellow
Company Information
The Division of Biostatistics and the Department of Population Health Sciences at Weill Cornell Medicine in New York City seeks to fill a Postdoctoral Research Fellow position in Statistical Methods in Phylogenomics.
The Department of Population Health Sciences (https://phs.weill.cornell.edu/) is the flagship population health research department of Weill Cornell Medicine and NewYork-Presbyterian Hospital. The Department is multi-disciplinary with substantial research strengths across a variety of areas including biostatistics, epidemiology, health policy and economics, health data analytics, health informatics, comparative effectiveness & outcomes research, and healthcare delivery science. The Department is home to six Divisions.
The Division of Biostatistics is a team of faculty and research staff committed to advancing the field of biostatistics through the development, application, and teaching of cutting-edge statistical methods. Our division fosters a culture of excellence in scholarship, collaboration, and education, with a mission to drive meaningful and transformative advancements in population health, clinical outcomes, and healthcare service delivery. By leveraging rigorous biostatistical methodologies, we aim to inform and optimize strategies for disease prevention, diagnosis, and treatment, ultimately contributing to improved health and well-being across diverse communities.
This position will be mentored by Dr. Arindam RoyChoudhury and co-mentored by Dr. Nathaniel Hupert. The Postdoctoral fellow will develop and apply statistical and computational methods for large-scale, complex and structured microbial genomic datasets, specifically SARS-COV-2 (the virus that causes COVID-19) data collected from infected patients from the ongoing pandemic. They will develop statistical tools to track the pandemic using phylogenetic trees, and create statistical packages based on such tools.
QUALIFICATIONS.
1. Ph.D. in Statistics, Biostatistics, Computational Biology, or a related field.
2. Prior knowledge of statistical models and methods in phylogenetics.
3. Proficiency in R.